{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3372bc45",
   "metadata": {},
   "source": [
    "### 导入相关需要的库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1a9175eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import json\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "36e15426",
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import set_printoptions\n",
    "set_printoptions(suppress=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c321480",
   "metadata": {},
   "source": [
    "### 画图（可视化函数）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "51112156",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_forecastpoint(predicted_data):\n",
    "    fig = plt.figure(facecolor='white')\n",
    "    plt.plot(predicted_data, label='forecastpoint')\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ef8a091c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_multiple(predicted_data, true_data):\n",
    "    fig = plt.figure(facecolor='white')\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.plot(true_data)\n",
    "    plt.plot(predicted_data)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8e48a003",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_results(predicted_data, true_data):\n",
    "    fig = plt.figure(facecolor='white')\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.plot(predicted_data, label='Prediction')\n",
    "    plt.plot(true_data, label='true_data')\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81e45801",
   "metadata": {},
   "source": [
    "#### * 1.加载数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4fb0e37d",
   "metadata": {},
   "outputs": [],
   "source": [
    "configs = json.load(open('config.json', 'r'))\n",
    "df = pd.read_csv('./data/sh600031.csv')  # 读取股票文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb8f5bec",
   "metadata": {},
   "source": [
    "#### * 2.加载模型预测的库文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4f47c869",
   "metadata": {},
   "outputs": [],
   "source": [
    "from model_predict import model_predict"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "918b4c2d",
   "metadata": {},
   "source": [
    "* 1.dataframe：用于预测的pd.DataFrame类别的数据（实验数据集没有新的数据，因此还是用训练模型时用的测试集数据以验证）\n",
    "* 2.cols：要进行数据采样的列（需与模型对应）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "17a94a22",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "forecast = model_predict(df.iloc[int(len(df)*configs['data']['train_test_split']):,],cols=configs['data']['columns'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ba65517",
   "metadata": {},
   "source": [
    "* 1.模型路径\n",
    "* 2.seq_len：序列长度（与模型构建时设置参数保持一致））\n",
    "* 3.input_timesteps:步进步数（可以理解为将用input_timesteps数量的数据预测（seq_len-input_timesteps）数据的数据）（与模型构建时设置参数保持一致）\n",
    "* 4.normalise：是否归一化（与模型构建时设置参数保持一致）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7840135d",
   "metadata": {},
   "source": [
    "#### *3.进行预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5f761dc3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Model] Loading model from file saved_models/20211210-170543-e32.h5\n",
      "[Model] Predicting Point-by-Point...\n"
     ]
    }
   ],
   "source": [
    "forecastpoint,y_test = forecast.forecast(\n",
    "        \"saved_models/20211210-170543-e32.h5\",\n",
    "        seq_len=configs['data']['sequence_length'],\n",
    "        input_timesteps=configs['data']['input_timesteps'],\n",
    "        normalise=configs['data']['normalise'])"
   ]
  },
  {
   "cell_type": "raw",
   "id": "df84c4f0",
   "metadata": {},
   "source": [
    "其实是没有多大意义的可视化化，因为每一个预测数据点都不是连续的，而且其中相差input_timesteps天，\n",
    "因为是拿input_timesteps数量的数据去预测将来一天的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "63a2e402",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画图\n",
    "plot_forecastpoint(forecastpoint)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f4b9a25e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((53, 5), (53, 25))"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecastpoint.shape,y_test.shape"
   ]
  },
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    "pd.DataFrame(forecastpoint).head()"
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     },
     "execution_count": 13,
     "metadata": {},
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    }
   ],
   "source": [
    "pd.DataFrame(y_test).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "935de9c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9d2b816",
   "metadata": {},
   "source": [
    "#### *4.将预测的每一个数据点按照input_timesteps间隔插入y_test即可得到完整的数据，\n",
    "#### 此时要注意，最后一组数据预测出来的最新一个数据还未插回去"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ae51db9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "forecast_test = y_test.copy()\n",
    "for i in range(1,len(y_test)):\n",
    "    forecast_test[i] = np.append(forecastpoint[i-1],np.delete(forecast_test[i], np.s_[::configs['data']['sequence_length']-configs['data']['input_timesteps']]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "902fa03c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((53, 25), (53, 25))"
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     "execution_count": 16,
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   "source": [
    "y_test.shape,forecast_test.shape"
   ]
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  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6d99243c",
   "metadata": {},
   "outputs": [
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       "2  0.044683  0.047298  0.050018  0.048628  0.050219 -0.014815 -0.011111   \n",
       "3 -0.002444 -0.002989 -0.000777 -0.000654  0.000964  0.009141  0.021938   \n",
       "4  0.075270  0.074963  0.062950  0.062383  0.059833  0.056748  0.035276   \n",
       "\n",
       "         7         8         9   ...        15        16        17        18  \\\n",
       "0 -0.020000 -0.010000 -0.008000  ...  0.046000  0.044000  0.040000  0.044000   \n",
       "1  0.019084  0.020992  0.001908  ...  0.022901  0.026718  0.011450  0.024809   \n",
       "2 -0.009259 -0.014815 -0.031481  ...  0.024074  0.018519  0.042593  0.044444   \n",
       "3  0.014625  0.042048  0.016453  ...  0.069470  0.078611  0.074954  0.078611   \n",
       "4  0.030675  0.050613  0.026074  ... -0.003067 -0.009202 -0.044479 -0.039877   \n",
       "\n",
       "         19        20        21        22        23        24  \n",
       "0  0.068000  0.064000  0.060000  0.060000  0.050000  0.048000  \n",
       "1  0.043893  0.057252  0.053435  0.064885  0.047710  0.045802  \n",
       "2  0.037037  0.037037  0.009259  0.009259  0.001852  0.005556  \n",
       "3  0.074954  0.074954  0.078611  0.113346  0.115174  0.149909  \n",
       "4 -0.015337  0.021472 -0.021472 -0.012270 -0.007669 -0.004601  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(forecast_test).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "eb4cc879",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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nCb7nR39U6kETlHNJtV4m3oRsNEPcKSMkGd21aBIFHYTr0unlae9fT9gzaSrhlR7yihAIfkDAUzDdamaSqYTIEmZVRxRZlrBboZe2WD5TjLTC/XKF87NWy0pRqZdJOIKsmqHNKOLJMrrr0CSCE9VRLJsOu0Iy00XUM2lKgeAHBAQ8iXkZZOHS2ZDpS0cJawrzu3djC//WMVgu+KGWJSdfqp3roZ7XVBpl4qogT4ZUKwRTdxwMIlixEBHTIGPWUVSNiGtjSGFc132ao770CAQ/IOApyGk6aVEiimBNZwzP85j5L+9n7XHftt98UpJVFN+ZW6gEM/xzSaVZJhL2s2wTdf9h69c7CtFIhokaBhnDL7cQab1ebZ5/rSgDwQ8IeAqKeoyUV0ITLqs7o5RHRgg3m8RzfjMNQ1oe3hdp/V1uBjP8c0nFrGC1JbAlnWjdF3LN9mfwlVSSiGnQ6/gP41hrZp9rnH9+lkDwAwKegsWkK89jTWechR07cGSJVL6MJFxMdbngx1oNssvm+Vmca6WomlWKrTr40bpHTITQbd+fUk1FiZgG/Ypf5C7qtvws1cqpD/YSJhD8gIDT4NgWRamNpNWgIWBNZ5Tqvv38YsMAtmMSwsJUlgt+XPVt+lX7/DMXrCTVRolcp590lbBckl6UcGtGX0tEiJgmybYhAOKtHIqFcvHUB3sJEwh+QMBpmB4/iimFSRk28yis6YxTPn6celhHCBsdE/NJGZsJPQJAwz0/qzGuFEY1z1y6FYPv2iRFhIjly1sjGiJi2aT6NwMQx//OcrXSiox1JQkEPyDgNBydHAGgoymYkTQG2iI0C1kAPOEREuZJM/xU2DcbNDj/IkBWErtWYiHRScytoeCSFBGipm9ea0RDhE2HdM9qANKKn2VbbAYmnYCAgBajJV/cMzWdRjyJZFu4VhMAS5HRObkUcnsiDQSCf67xGlUWwl2k7QIAcaGTsPyHcTPsV8xUIn7sfVqLAVCyzj+zWyD4AQGnYcL2Ha+91SheRxcLe/ZQC/s2elNT/VLIynLB72jze94a52n53ZVCsarklAxpowRAXDGJtQrcNUM6YUvQNPyonM5YEoBqqyvW+UQg+AEBp2FekZCER18tQqKnm8LOnVQifltDT5bQhY0lLRf8ZFsXmrACwT/HRGmQI0Oy6Zex7gy7xFpNagxdJ2xBveGHynYk/IdyjfOv3lEg+AEBpyGvh0mKMinhsrYrQf7AARohDUluB0D3bMwnFeHStUSrzWFwa51L5LCOKYWJN5qEhEqqTSEmfMe5oeuEbagbvuAn2roJi8Z52QTlebkq77zzTjZu3Mj69ev5zGc+c9L/P/vZz7JlyxYuvvhi3vCGNzA+Pv58nDYg4KxS0uOkvApRYbG6M0ZpahIAWVsNtARfWl5md7GRuRII/rnCdV2shP8QjjVdkiKKlokTVgQhYWBofk38RsukE2nLtJqgnH818Z/zVem6Lh/4wAe44447OHjwIDfffDMHDx5cts1ll13Gjh072Lt3L+985zv50Ic+9FxPGxBw1qkocVJOFReTNZ0x3JpfLkHW1gB+sxPrSbV0ZFkjjIEpnX9islLUG1WsmB+DH25IJEUEtb+LkAphYWCqLcE3/Rl+JJEiSuOkshjnA89Z8Ldv38769etZu3Ytuq5z4403cuutty7b5nWvex3RaBSAa665hqmpqed62oCAs4rneVTkBAnbpCrZpK0aluSBFEFW/HhvzXUwpRDCW94QWxcnO3MDzh7laolaS/AjluUL/urVRMMyYc/EaHW9qhu+E17VQ0Q8g+Z5WBP/OQv+9PQ0g4ODi38PDAwwPT192u2/8pWv8Na3vvWU//vSl77ElVdeyZVXXkk2m32uQwsIeNbUCzNUSZK2HJqaxMKOxyhHo8hKNzktDEi+4BPCe1JNlpAwT3LmBpw9KrUSpUgXEa9ByHWICRW5p49YVEP3TAw5TMgSNCxf8CVJIiLMQPDPNt/4xjfYsWMHH/zgB0/5/5tuuokdO3awY8cOMpnMuRxaQMAyjo8eQkgyaROsqE5u9x7qIRVJ7eJwuwxSFN1x8CSFerG0bN+QsDHP0xZ6K0GlXqYQ7qTd8ZvVxBUTSZaJJRKtNochQo5Gw24u7hNx/QfB+cZzFvz+/n4mJycX/56amqK/v/+k7e6++24+9alPcdtttxEKhZ7raQMCzioHZ/zyx51NBZFOMnv0CEICoWSY7HWQ5Bi644f9lbMLy/YNeRZWIPjnjEqjTE7vIm35PpbOqG9ia0ZTvuBLYTQvStNeKmgX8azzsgnKcxb8q666imPHjjE6OoplWdxyyy3ccMMNy7bZtWsXv/d7v8dtt91GV1fXcz1lQMBZZ6JRAqC7HiHU1YGZ90U9p3eSjs8iSVG0luDP5+aW7at7vm0/4NxQrMySkzpJmRVUIdOZ9oV8Uo0Scm2aRFHkMHVryfQWdW2aUuS8a4LynAVfVVW+8IUvcN1117F582be/e53s3XrVj72sY9x2223AfDBD36QWq3Gu971Li699NKTHggBAS808pIvBAP1FMmhflzLAHQm9QT/PvFRJDmCavuZmgvlwrJ9w8LBlM4/+/BKsVAepynFSBhNEiKC1pMC4LhnE3ZcmkSQdJ3GiTN818GVVMrnWROU58WzdP3113P99dcve+3jH//44u93333383GagIBzRkX1TTID9TCaZ1CNRJHUDE4ozx9lwlx1TEW1fMEvGsudtrrnYhJCCIEknT/ZPZ8YnuFo3eDrF689p+ddMPwiaPGmTVLEUQd6ADgmmoRdjyYRvKiGYS41pXmiJn623qA9Hjun411JguyQgIBTUA2FCAmDlFvDOriXWkhGVrpIpLezNxzCU0Cz/EzOimMu2zfsuXiSQtM6v2q1/HRilkey577GfKGV86A3XRIiirZmNQATsiBiC4SkUE1FME/oQhbz/LIK2UrhpOO9lAkEPyDgFFS1KEmviivXGN+9GyEJTK0DM7ULAFN3UUxf8OtieRx+SLTEpPjS7GtbM22OzFVPen3WcalJMq44tzVqqiF/hh6qesQ8BbnD9xPmtBBhxx9LLRHFbCyVQ36iCcp8KXdOx7rSBIIfEHAKakqMpFvH0ppUZvxEwVm9k5GoP4MtRRwUwxf8hrRc4CItwcsXXpr11v/q/mGu23Mc11160NVdl5qqIySJgnluVza1cIqQMAjZLmHJd6R/ZO89TGmdS4KfDGOdYHpL4pvscrWX5kP5dASCH3BGHJ7P8v/+498zXV4uZmXb4ae5l8bNYzkWFSVB2jGx4hJWwwAUZhMGRQUuMh0KcRPZ8E05hrzcTh9uzR4L1ZemueCoYWLoEtnakilrtLokplPV5Q3cp+77AvPbbz5r46mF2ulw80hAIuTwo+mDfCWXxJF1Qq1nTz0ewjuh7WRK86OoSsb51Ww+EPyAM2LHtm/whk3/yM7Hbl/2+s2zBX5r3yg5y1mhkT1/HB/dRYUUacvB64xhKCqS0kGz4xEinse19QTlaB2llWFrKMsFP9qyKRfrL80Z/pziJzhNFpZE/kA2v/j7eD6/bPuR7D8yfOz/O2vjKamdtNtFJCHR2RniDw7NIAtf6VXX/y5qMR3spQdUWyju72ubJx/wJUwg+AFnhFs7jCQJrNyBZa+Ptmb8C+aLv5fr8PEd1KQknSYguTR0gaR0Mtv5OK9rNFEr7VQjVeSmH7ppqMsLpcVadXTKRv3Jh35JkAv5ce5TuaWEs4MzM4u/TyzMLtvejLvUEssjmZ5PCkonKbtKXIT5t1gcQ27nnRF/4uF5fnisEdGQT3Cid8X96po18eKfoJwJgeAHnBGu68/emo3l9ZIOT/s3+XihdK6H9LwzlffFK9NUmJ+dwpMczHAEQ3W41A6TjmykHqqiNn2hf3Ip5Ljqi0zNfunFeOerJnXFL4Q4XVhKOButFpBazuvZ2lKkjmPUkEMuStzGrpee9/FMTk5QlxIkzTpJEeHe9BpeHZlma/k2rhSP0MTvMWxENFRnSfA727qQhcu5eCTP78ly5ycexXW8p9/4LBMIfsAZoSj+TM31SsteL7aSWkZm5568y4uOfCuhqrsumB8+DsBs2iLhemjhdVB8LapSRHKifnerJ83w43oEgJr7wlrt2M0mD//aO5m8775nfYyDM0tiPl1binCZRdDLNJJwyZ8QptqYO7r4e3X8sWd93tNx33b/mFHTICEi1MMzfOPqt5JUtvN6fkZD9x9OZkhfLIUBEGvvIkKDunz28ySGfzHD8HSdysTKm/gCwT8Nx+arfGPH5NNveA6YLjb4m/uP43krP0MIR31h17TlDtqa7l9KM+UXf5XTmuaLQNpwaZb9glsjPcO8udHgaHwt2WKSds9AlqLomFhPaqSRjvj24eYLzFww+9BDpA8cYO7HP37Wxzg4eXzx95y7tILJaWF6mCNBleIJrQPnp/ctbTO541mf93TsK/tmpWjDIuyqfPXqK6iVRulUZtjMQRq6/90YukbYcXFaoh9JdxKhSfMcNEEpL/j3SuUUoaznmkDwT8NndozzwXKOhrnyN+2/7pzis16NAzMrO0PI1uroun+Ta/pyZ1e1tczPWmfPVnuuqOt+BEcSgS0EktzGdHqEt9TqzMqDgESHHQJZbXW3Wi4abbE0AA1W/gF9IvnHfMF15+af9TFGKv4KThMWldbbFkKQV5NkxAJJylROENFsdmmGv5Db/6zPeyo8z+Phtm4U4RCrWKie4OK2Pn649z+RJYGGRVSbRxEOlvpEI3N/whKKRIiKBs1zUOSu2YpmKk+d+6S0JxMI/mmYdB2ELHFsYeXDtuZazqYj2eUWR9M0KRbP3UV0eG4BVfMvXlVfsoc6nqAm+4JfEi/+YlSNllOyLexhyhYoSXQcNpgqcj3t/8+M4yoyIWGdNMPvSPtNsg3phdUk2zzQEtzcs1+FTUgmUVEjwwJVrRXLbjlYcoh2s0FSVKiqS3WEqjXf1yMENJyZUx7z2fK5B0c5ll7LrzS+A/UQqmfjCkHOOUpNxJGsMIORQ4QxMFSNsAXVmj/LlmSZiDg3TVCe8BXXcivvxA8E/zTMy/7s7NgL4EvKtpahw5Xmstf/+fs/57/84KfnzNQzms2hqr5dWtGWBL9gOwjJv5TKL/Lm3YZtUNcjREQTu1HGlQwaYY9X1xz2RS4gU9Qxq98i3pSwVA9dWFhPapXX1tGFIhyMF1odnYkZHr3qIzTctmd9iAVdp1NkSYgqVc1/MB5t9QPoskwSXp2aElnc3rL9XIRGPY2rLV+h/uLH9zF17Nn1t943VeIfzCKbxX5euXMvIKGoDj+amGKjcoCmFEHNr2JdZAdhz8BUdMK2ysL8ko8p4pk05bNf1dR0PDy3QKO88iGgL+678yzhuh65sH+zjjxJZFeCfCv6Yayx/IK5L1LhkTUbmZpaONVuzztz2QW0luCr6pLgzzSWPqOq8uKuEjk6P0pNiZFy64zN+D6c6Y4K76kvsDe5gWgBhDNNtC7TCLnowsaSNUaqSw7MSKSNEOZJCVkriVmr4dgJ6rE+qqG1uM6zM1Xm9QQdTpGYW6em+sK+e2wCgF5HJuE2qcpLxchcajiOSr2eRo4vXSeO7fDVY/u4/WcPnvEYDNvlv+4aRZEt3mN+mfL8JiJCRyQkvn/0Z8Sp0WmYbNj4Tjq0EcLCb3MYsiNMTC+tMiKudU6aoFSbB7Aq/0GlHDhtX5CM5Oq4rWSa8cbKR1oUZd80MG0vv0nLIX+MDx07fE7GYWSHkWSB58mo2tLnMrLgh2q2ixxVNXK63V8UjM2NUVXipJ0mtYK//J/oznOpZbKvfT1qqWUDritUoxa6Z2FKGg/llxz8shwihIEpvXBur7lHHqGS8JuvN8NdVCfPPCDBth3ySjsps0rcNai2zHhHc35I7iq9jYRj0pSjmE+sOlUD2wpj1MMoMROnldlaXihy5yUv486+My/D8KF7jjAWl/hd6Z/ZPd2FEU2QFBGKXSlSyiE8JCLzr6T3sveheg5hz8KQQoTcCDMnmLPOVRMU160CHvVGIPgvSA6dYLefdla+4mGl5Veak5bbx0uqHw2yr3T6HsLPJ0nzIACNRgpFcWi0InLGFvxZ0wATi7b8Fyszc6NUpBRpy8K2bCQpxiBNJGB/aiOi6ftM5DLkEw1Cno0laew6oQiXJEmEMF9QjcwLj+2gkmwJfrSL8vDwGR/j6PBhbEmnrWGTsE3qUgzLcZn2LJKixOr+rSRbIa1zdX82L+sWjqlj2lEkCapjfhjlkfERbElnNpo8I5PkTw7M8R3N5Nr6Y7y8/gjHZyM0QwoJL8LdsXYu43GEp7Llug8jKTppJ+ULvhxCdSPM15ZEN+I4NIngnMUmKHbDxhNN3HAUw1p5a0Eg+KfgWNGPNGlresytcKRFzbRptkIe8/qSE9B1XUpKGoAx+dw8lGK6L/CNut9gYm7KX1nMVn0RHGSCphxZmt29CKkvjFImRdqwsWkilDBvaDQ5Kg3QdNJ4rh/hYloqdrSC5tlYks5wZbmvJyRODtdcSYwDByinVgPQDHc+K8HfO+JnV3fWIGH5fpuZYpOsopFhge71V5Jy/Wt0rFVeQQnZuKaOLft+g+rMbgCO5Xwz0IzaS/YZmiQXKgZ/Oj5Du2nxO9F/QCxcScqdx1QFYVdiZ0pmFeOECv209Q0CkI5uIezarTaHEbLNpe8p6rkISaZ4Fpug1LMNzLhLY/Vmml4g+C9IxhomkifY6qrk1ZWNtJjI+xdJr5imrisU674df3a+QFPyZ9Mz4fhZH0fTtgmH/ZWPU/cbzM/OHgEg65rowiRj+8KffRGXV3BqVRpSnGStiScqFNIWb7KneFzbRLIi4Tnz2JKGK2RiahndtTElnUJjub0+JHxTzwsFe7aEo8ZJZGYQskJ57MxNOiMNX8S7C1HiRkvYZ2fI6zG6xAKRZC/twl/VjM76x1fDFo6loSSHACi0QjNnzBIAphThscPLy3Scjt+77wilkMSfVL5I1DA4yHUkhC/Wqu2yIeTH/K9f+9uL+6R730zEtTGIoHhhCs6S6MZa1T4XKmfP1FKZqeApHkgSjhQI/guSScumzRCsDmlUwzLV5sqZdcZL/kWyAV9cD8/7ontwwp+h6cJkVutAnOUa5Efmc4sx+GqtF4B83h9DEUhRImH4l9N0ZeVDWZ8tluYLllbxH6xmr0JaqvN4dDOrsmUQNcppX7ySVNFdF4sQlrXcFhzyLMyniPHec+hxrv/Km8jmnllm8ud/+Df8/tfe/2zeEma1iu36oaLrr0kC0Mg9fb7Ekf3b+MA/vJFizjcZTsoukvDoLqeIt8pKHJsdpqCk6LArSJJERm2VXajkcM0Gqm4h3DBtfeuwbZ2S4UflLEhL99Su0tjTjuVvtw3zcEJwY6PKqs5tdJYvY3fOJuL435ewbV4j3YNka/Rd/r7F/ZJrfpWwa9MkAiGdLEuTkZj3RE38sxf0UJmrIBT/weISROm8IJmRXLpdiaGw//EcXcFY/OmqL7IX4JtPjrTCRI/n/Brtm8QhSkobM7nSWR3H8YUFNNVECIlofQCAet0XgrKikqRM2vIdtsMz58ancDYwIn6UkVc2AImXt1ZPjyW3sqoV4bH6sisASNsuuutgSSEUN0H1hNo5T0TvnI5Hjj/IpDrHQ/u3LXu9YTmMnSIU+GtmhTvTm7DMMxeNuUceoZJcgyw3ueiVLwfAbD59NNVPH/kmj8UafOHbfwLAfChEWhQJuWESDf+9Ha/m8CSFzpZ9ui/mP1iyZoPc9BOJVjGGuoYwmgksxV8FFlQZWfgPkFHlqSOGfnponr+3KmypwnvKnwIX1r/mk4y5Zdq8fiQh4dgO68Rx2q0epBNCg2U9QdixMaUwblijoCzZ6+Mt+TubTVDq+TqiFQAiZAujvLL1lQLBPwVZHTLuIeTqhwE4uoKx+LOtKKEnZvijrQfAjOUvQy+s+UvnXxw9eFbHMZ3Loyouth0iYfgmHSH8GOuqEiIlynTIfqGqqeKLs56OYRk0wv7MVS0uYGsy6+oLlEWUiWQv6fwCAvjVX30bQlJImjq64wtIzLZ5OLsUUx7ynrqR+VTNf2Dvntu19FqxwTu+8Ave8rlt1E7I8C6ViywkLsaIv4rjE2cekVV47DEqyTXEO3Ik0hlUr4rpJJ92v/mZBL/5+MfZbghGj+0gF0rR7pRQLZ1YuSWWnn899tj+LLY/sxpNmBSFy/SE/95qSh+pxBBNIwEx/8FQ0kKkKdIt5piOLO8pW52dXXTkjuXq/I+xaVKW4F83QrXrOG3ZC4j2baKsldDVAQa9DhoYKJJH/+BbT3of4VYIqtEWpXmC4KdaSVeFsxg9UylU0HV/0iApLsXx/NPscXYJBP9JLFQMmrpMh3yM7og/Ux2tPnvb2/5H7iM/N/Gs958zLBTh0Mc0YWEw0eqytNCK2LnK8WcPu3PP/hzPhGJuBlkS1K0E9/QOYHsqcquQWkWJkfDq9IR8Z+5848Vp0hmeG6YZ8hNxotUJCl1Rutwj7PbWE4o5KEYeW02TyXQg6VHiTR2tFSqbtGvsOOFB5wv+6ZN6pgz/2trb8O3Xe6dK/Mo/PcRwtoZhexyaXRKhHYcexdOGEHKEx8aPLjuO53lPa85rHDhMLdZH52CBbd/eTLrrEQy582k/D9NKISPz2pH38fkffoKc3EnKrOI051GyI8jCpdGqOzTYMuV0DF5AkgplWaaYHwHgXzp+jQ/uzGM0YshxE9eoUdJipN0KA848M3pmscbNwvFjjLzx9fzsrz9G03L4jYeO0lQl/nXjKqo7/gIkWP2Kv+JgrUmnnMdTNC5w+7DUApIH7Rvfv/i52K3om5Dl/2ykI0iuQc3yH1IpzV+RFs2zZ1uvlMp4rdIbsipTnlrZpjjPi+DfeeedbNy4kfXr1/OZz3zmpP9v27aNyy+/HFVV+e53v/t8nPKscahlI+/VxklTRPE8Jp5lLL7RrHH/12zu/9ZPnvV4snadJGVEUyXDPDOtSoQFVSUpyrz8gtcQEk1GefY1f3aOFyg/zXvUKkeRJY9dXMlXNrdzwL0ERbdwhaAmx0g6TXrbBlCFTcFb+VDWZ8PIzHEaum+LjzarDF78CnqkaXaygbDs4DlzSDFfKLV4nHBNQWkJVdqscKC6JNIhz8Xk9DP8Gc+P9jkuj3PHrhF+/V8eQVdk/uP9LwNg//RScbo7R3bjqP64ts8vd7b+5fd/xN/++M6Tjm+73mILQjNvg+IRTnwdu9Mi3ruPZriLZsEXH8dxTirR4Xkeqp3GURuEPJ1MfStFqYO2hkXDXsCtmSSo0NQ0ZOGysWM1AJH2DEnKVBWNRt2Pz8+G4hwJeTSaYSQZKuM7KSsJ2twqg0aVnJxhbMRf8Ry6/050F7L7H+Kmnx5iOCHxv+NtXKBMMN91mL3uy7h0TOP1jx1hvakT9lS0WgWhF2iz4igRf/X51z+6gz//u7/H8zwirUmRkdCJuA2+vt8PDe2M+Kucylmsatqo13BaKispMpX5lZ0MPWfBd12XD3zgA9xxxx0cPHiQm2++mYMHl5sXhoaG+OpXv8p73/ve53q6s86RvG++6Q+NISNosytMP8usxMlDj4NQKM89+2iNvDBpo0i+2k+GeRZaGa4lNUJaFBnY9DL6xTTTeuxpjnRqinWTXzk8xn//0VMXtop5M8iKQ0F0A5Bzu1F1Z7GsQtI26RzYQJIypRdaSYFnyNTwKHU1SsxroHoub+xoR5YEj2sbiTc9EHX61/gO22h7G2pNXhT8tmaRMWPJXBASHo6kY57i2rFtG7ue5X/9REJ1XD73oztY3xXnBx94Bddu6CSTCLF/eunhsau59PuwuVRx0TRNbk528J1ThH9eecduLrprNx+78wBFbYDMRT/A6y7jNBTIzGHrST757R/z69+7nbd+60f82u33sef4yOL+ubkREkYXnpYnZu9GifjnzVQU6tYspt0gIao0VZ0OcgxtvBoAWZZJeHWqagTbKdEkjKGpNHSZeaUVqTOxk6LURpttsA4JIck8eMw3/xSPHqAa0ni8/0J+FnP5ZUPjl5WHefzgb2ArKrfb13NpYQ/vWfgenVYb67we9hXuQ4+bHM2u5b/+xw7+9w/2Uti7j1ijxnytTqwVLWVEFZJOjZ+M+g+irpT/8H5yE/rnk6ZVw2klTgpVplF8kdvwt2/fzvr161m7di26rnPjjTdy6623Lttm9erVXHzxxcgvgjorwy3zTbfkz8A6vSzz0rNLzJg4sAcAo9iH9yyTO0oqpClSKvbSxTz5kIrneZTUOG1OFVXT6bWzzOlPv0Q/Fd/fPYupy0x7px+f53nEtDKKalLEn0HlRReq5iz2L005HqmeNSSoUH0BJRydCfX5MjUlTsKuYuoyydl9eEJiZ2wzba2ols0vu4TZA4/RlmqjacpIrRVX2Guy4CzN6MMtG3SxdPKMbnp2nJcddnnlXptLRgSXDdzOze+/iK6EP4u/sC/JgRl/hm9ZFnU5CS1RanhL99BDI+NUtTjFcHhZ8lK2ajIfkzFk+FLI5k/+4F3cvrGfoyNXkjuSRm8vISkWE2WVbW09DPf2cLBvDd+bOLZ4jCP7HyVpthPVbAZenqLS3goPLoepW9OYbo24V6cuR8iwQLxjzeK+CadBVY4ipDpZt2vx9anIJgBmcgcwpTAdrsOVGf8hsL/p53jUpqf41qtezrff9Jtsqrj8L+ur7C/9b+pKjE+Jv+JDsU/wv9o/weqsbz7rmytTtnNoMYOD7vVM5Bts23OUWKt0856pORKtyZARUUi4DYabvimnM9OLKmxqZ3F+cmLsvadI1MsrG5r5nBV4enqawcHBxb8HBgaYnn52URpf+tKXuPLKK7nyyivJZlemrvqkaROzDSIYmGaEjDRH7llO0LNHDKzq97DNUaYP3v2sjlHWNF/wy91kxAKWojJZaFJSUqSd1mrEqFCRk0xXzrze9oNzvrBUn0Kjx4olItEysupQlP3WcEU6UTWL4Vl/tpR2QQ2FSYoqVeXsF6Q6G3h1j4ocJ26WMQdXEZ25i+Oij0osRedMAZDoW7uab3775xQacWqOjiT8B4EsudSktkXhDbXM6gvFk5104/MjrJ73N7hmFEZio+zddgXzj/8lwvO4sD/FsYUahu3y8AN34GoDdBayhMwmnpRcjNS5c/gQAFU5yUyrgBnAwVbd9T9v6+CvH/oRl8uP8TPeyl+t/TP+Zd2HqckJQulJ3ln4KV8XN/Lv9Q8SFTUONJfsy0ePTiAh0xHXIRqnnE4DMNBQsIWF7Zkk3CY1OUqnU0A+oYBcwjGoygkk1WTe6Vt8fT48iONo5CU/2qlLUrly6ysIiwYTrbr1ZtPk1uveS7Je4X+UP8pM4vtEF9r4G/kvSUsl2sZfw8D2D2Fm19HuxShPPu5/3lGLv3r/f+WuP3o1r7lg6eG3/fAkne3+qtQMyURdA8Np+Wnau4nSoHkWJ6IOrVBmIePKEtXqi9yk83xy0003sWPHDnbs2EEmk1mRMUx7Dp1uDtdVqMy306NO0QjJiwlPZ0IlG8ZzxnHt4ww/ct8Z72/YLjUtTEoUMY04adtf2u+YzFGTErS1GjAPtRqH/+L4mUdwHHd9E1EtfPpL4cjcArGo/2Aoyr5jtih1oKgmY1n/5u1sOSjjbmOxNv6LjZDkUqaNqFHhtdYeUmKMzzrvQkQUurOToCb56d0PUZWa5LwqtlBQ8MXVUSSEHOFgxV8ZRluCXyif7KQbz48vCv6WYYWxehg8hf3lr7Pjzq1co9+N6wkOTpfY9/jnKKUG6CrWSVVK2HoXwxN+xNYesWR73jm6lDn7hFlyQ1JhaOBm/pvzz/zpgZ1cdmwXR5NruZvriLQNo85cTve9n8a7/9dZ740woqcXH1izrYS/9v27OLrtXkrxdjRh0dFcchAnHIOaHKfTXh7FlnBsHElD0m1yri+2baU8c6EEzWYCN+xfx/3RJPFUhkF3mulQGoCJztXU4il+w/532gaO0Dl3CYPv+Dnjaj+bnOOIfdfyqFGjIRmEzAKlVkhnR5t/zdmuiz02TK2zxz/e1ALdraxbQ1cIOwaOo/u2/USCCA0a0pmtSIu5LJ99/3vY89ADT7utJ/n3aFrEsBVWvLzCcxb8/v5+Jk8oxDQ1NUV/f/9zPeyKsaAKupjFrMZplDS6FX8Ge+QMnS22bWK0Mk6Fm6Nw9MzthJMFf/aYsBuEhU686V8sj8/5K6hMyym3SU0DsGt29IyO73keM3H/EqhFT/9Qm8zl0UP++y+pfuhlSU6jqA7zdT+Gua8VoZNwmlTl+FlPBDsbSKE6ZVLEGjUu0oZ5OPNh7vSuRkRV0oVhtFiG+akZFCFjShZSrI0QJQAczf8cH87590KkVTit2CifdJ6p3DD9ecil0nRUbJJli9+QPsEfe3/DX4X+gO+5x+jXZhHf+hijWpVqPE1v1aLNqFKLdnB0+jCWbXM82sMq4dvdD8wvffdPmCWVnX+MN2gy99hv80Cxk2smjpNq1hj11hFNHSTvCPaJh6n0VFhbzzKndDM27ychNawwQri0HbwHszBLIdRBu11EdfzvVfFkEpZFU4rSYS33U6Rb16UStsl7GSTP44LRg8zFw9SaafSQ/5Dc2O0Lcb+VZ0broVGvc2ztRhThcGlqF0d/keGS936fOyb8e3BrocHAH70J15OQhYSY/hm5mIus9rJlyysAuH3/IcKWydV6FFWoGIUig72+HhmqTMSxERYUrAayohDxmjSVM1vC7952L6Je5djOp+7g5XkeQmr5eEQcVxI0nJUtt/6cBf+qq67i2LFjjI6OYlkWt9xyCzfccMPzMbZzTtNyKIUketUpmqUw0412Mvg3wNHCmXVymhk5jOv4F6rwijSKZ75imWhl2UbtJn12N9G6Pxs/3nLcdbXivC9ccylRUWfkDKNjDs5WqUdk1lVdXFlix1jplNstzE+hqjY2KpVWj9CS4gt/3S2iCZOeNt8Wm3AsbEmn4b546un8/d/ewnV/9HXscANDihKrVXFe9w8cU32bcyRsojkVpO4BmjRZr3WhCBkp3UeyteoyVf9W2tOa0UdbjsJy8+SJQmX8MIqA777+egAuGRH0VA7iSjr7xCa+Kf8On0zfwhXNbzDsXgTA1p5HGOoaoZJIc3j2IA+MTlKTE7y2uR2A8RNm2ROGRdyyMHsfx9y1idr0VjT3ToSm01ktMs4awp3juJEO3vupv+Mdf/oRNhRqCEnmnjHfTCQ5SUJWjvHuTvSUTZZuUmYNyWiiiDC6qxA3fDGLe8tnyOmWn0HTTfJkiDeqdGencBWZEW8DYb2GIhw2r94CwJDZpCnF2H7fvRzduJH1HGXk0DWUxwbxPI/7F6aIiDoXzEcZ/cndzEkNHM0gU7CxZZNwezedG38TgEf37MVWVC6fbiMlIiRdA6MVpWOqKrotkEyPsboflRQR5hk3QRnf7/vmaoWnjqk3SxaK4j8g2zzfj2DxInfaqqrKF77wBa677jo2b97Mu9/9brZu3crHPvYxbrvtNgAee+wxBgYG+M53vsPv/d7vsXXr1uc88LPB4bkaQpboVaYoVWOMSb2Lgj92hrH4Iw/vxnWmqK/aiJ3qoGZHsev+cr9iO7zjob08Xjh59nci0xX/4oiYJpKZQq3FSYrSYqTOqphfkKp302X0iymmtTOL1PnJEf+9vXnOv3H3zJx6PHLpEK4TpoifRZmoFqmpESx0bFElRZmuwY0AJFuJSDP1F0erQ8/z+Pa0y1ZJxYr6t4NsSFS6LmZsIQ+SICnXEUBd9UiIKNWJn9PvtdOMRUk3/VWRpcnIwmSkVYgr3ur69ETM94noc/5E4G3iPpyYwhUjgrW5bdzeO8S3L1zF7059l9dVH+MRYw2I1QCsS22nV5vG1nT212e445hfN+ZlFZW0KDB3QpvFaeHSo4yjzepk9/wahlxhjRcm7Mq8qpIir3RipTzMaHQxmOBCy792Hi9O02xUiBkdJCszTHXEiXZ6LNBNumHRtIuEXJ2Q45Fo+teN6iyXkYwSRhYOmm5SlNpI1Mr0zvthlyPSWmRJsIpR0knfH7S5ZQLcc+BxppP9bHIPUZnrxejbyJd/9B/scyQ2coiEupnmpI0pOTza/hgN0oBOcsBBiXTQtG3ExCjhVIawmSYhwqQkk4dGCoSEgaGqhJwQkukyUS8BEPUMmmdYE7846SfYNculp9yuOltFUiUkIS1+Vs4Kl1d4Xmz4119/PUePHmV4eJiPfOQjAHz84x9fnOlfddVVTE1NUa/XyefzHDjwzIolnWuO5PzZWDdzyDHBe3seIubW0TybyeaZxepO7J3GTkbwoglI9WDKDsN3/RMAn99/jEdNjy/tfurPYbplYgkbNo7told7yLBARfdnVBv71gIQikTps7PMap1nZEp5tFgj7AiuzfoX40jp1CId86YwrA7yLcHvKvtmiwLt6F6NFGXSrbGkWsE+IwvPznH/wL+/jZ03/49nte+z4eCOgyhhmyukBmbE/1ynGx1cd/NRvlNNIYUl0s0axNsxRIOuUBwt3kG3ksBWBInWBN5SZZJuljnLn00mWvH8tSfFeHueRyZbY75zHfPV30Xv19k64dFQZxj69qu54p+v4VPDn2dbxyXcJa+jkhwi0ajRGZknI/kP6FzDZDcu3WKWq7ZeR5eXJasvFdBb0Dy65RmUiR5qkSFG4xOElTYu8tawterf8hOsJtwxxfyE35R8cO0l9ItJjko6x/Y/StLMoDZHMSWPaF8KQ4rQWZWpW/NEbAkkm3jNf2+Gt3yG3BNOk7HySJKgqKZJ1Mok6mWS1SqT2moA1nhLIaCvWO2vYo4KEJJMfyFHonARkhCM7zxMWcS4prKf3tlHGJXruLJNSVogF4uj6Jto6/AfoLft2U/IsbnCDONqdRIigi5Z3H94gYgwMGQN3Q6D5TLdqssfds+sJn69UsGtlAAwTyi1fCqKk/OgyIRQCbcqysqSjW2tXHHBF5TTdqU53gqZ6mKOa/ZfwIZ9n8BoJOjw8oux+Fa9SfMZdK6pFZp4mQHWrN1BrLeC52aZfvQ4jif4RtZf9h8wnzrrbrZeQhIeesPDKN0FpUG6WKAuR4iKGkNrNi9u29usUpfjTJ3BzHpE8dhcsuhv+uaX3GnKxMbUMo4TZsH1HWGry76DME8nUeokvCpyq79pRyvZaGxu6hmP4wmmDu/AHDxKLv4gnnNuboo77t3Lh7kdS45ghPz3cN3WDfw/yTKq5OKmw6RKJbyutcRECDm7g4vfcB3tahlJSGhGFEm4WKpCpzdP0fPFI9WqwdN4kpktl59naMFjfOjVFBsFHkn9PpotoS8o/Kn7Pm63X8MtyV/iNzf/DbM9dRY6euhr+n6SDP4KUXGiDIc62eQeYeDCV9JlF8mqfgG9hulQDsl0M4uRjyFLMlvCKrKQOK57CMV/EI+L1YQ7xpjcvReA/ksuZq05w3ioj/17DiEhY7eSw2ptfoJSf12i4RSJWg4N3SLWqgtTdJfHNQ51DNDlZBFASUuSrJWQgKHZCaYjfuG9AW9pQrBuy1VkxDxz3W1owqRtTEOVMnQeP4qKzlv3Pcr1RzVKzluZkvPUk1UuHo3hyRJK6CL6uv17c9e+/diqxpb8EOZQhbCkIUkee8fnCQkTU9HRnQiSZTNr+PdJxHVoSs+8ac/+Rx8iLEd4Zc87iDlPbQpaGN6DUGQiQkdrOfMVVVCdXbls20DwT2CsaaJ5NnG7jsybkfU4TjNKlzTHguSL4qG/u53hTz91iKXnujTCJtHOHAMDh+jqP4wrF2nOJvnO2DRFLUaPmGEilMHxTj8jz9o1kpTxzBiGVcQqKnR4WapynLQoEo4t1UMZatVeeXjs2OkOt4xyw2Y+IXNZSeA18sRsgSlOThIq1BuEI1UUzyPr+REXF1X9xLoCHSRFmaS7ZKfu0nyhm62VntE4TmT7j29Dkj2UWJW9t52csX02eGSuTIfVAYpBo9Wj9W3XXM5HPvI+/ve1d2Fd3EGyWKQRgnVyD3Mz8wxdeAlCK9HvtVMLdRPCwlIUet05DMmPdGmL+U7sxpP6KYxOHqU/HyEbdtndP0tNs3FkjUtGBTsibXzQeR8fmft1rIaCk3PIt2VYI/ni2IkfqiyLbiy3zJZqDkmW6TIbVOQUC5Uqh+aqCEmim3nMci9XxgQFqU6q4fL19Ul0kSVh2oy4FxBuO0b+uC9EyUwX60sl6lKcgznftGdqJkJWmI35gjjUkKk7FWSvQT3cIFzwJ0hVdXniV9/gBfQ5M1RJ4igaiVoZTw4zMDtGKRqj5KTo9ZbKUKiaxoA9x3j3ajaIoxQXVhOW4ELtci6v99BdLXCsup7D0hxIYEsFVs/G0b0YWjhEb99mKoaJMjlGl2hHReUXuzpRLN9UFPYMIp6BKeuE3RiSZzHXal0acR1MKYz9DH1Ow7se55qutzMQ2US33PeUzVvq82N4ikxYaOTcVvN0BQrjZ69Y29PxkhT8o9OVZxUlMuU4dIosdjlOMuybL9xKO13yLLmQL+TxWpy0lKE8ffoCYdu+/TXcjiir+/26J6nUPHpUwaj38E9Hj9Al5vhl7wdYUogd86fPN8hLLmmKyEYaTzhUqsdos6p4kkLcbSKdkNG6UfLFf+f0yOkOt4z7jucQssTFZY+Jnm/TbVk09KXLQbiC6v1THB6fJRKpoComWdFF2GiwruGbAfKikxQVks7SyqA/6Sfa5O0zc04d2fkwpurPulwrwmz5F2e0/7NhdmyatZERjhuvwpHrNFu1VdZ1pxBCMNwyx8Q8lbDQ6EoXCMcSdA6uwkuFWe1lKGt+/1pLURgqTyPkEEerWTrS/vVjsPw6HN39EMWOy9mzWuP2N7yLwx0LZNe8mUtGYJV+lBsiB1Blj9D+WaK1NQhZYbV2hGa1g7AwiTl1zHAPqj3N1a4vaH2tWjG7Ro9yKLtklhxKvZlSaAFbcmnkj1Hq7OTa8rdYX3V8x23HKLWsvwKRJIktdf96qpsqCI9GWEKJxlhoTSyGGhKm18BWK1QjFlKpgSps6vpyp228u49ud4E8fjJgsm6A1kdXq8zyEfsiOr3lotdl1pgKD7G6Mcn1aj/XpTTW9V/LBq+PLi/BMWWWfcoEMXOegjVL2Aqh6puJdI7y4B0OX/6L76N5LpfWeikIg86OMDj+A7xNtQl7JoYcIko7kmySa61OYq2Ew3zjma2Mu2ZVeiJ+kllYiVOYnz/ttnathKvIhIXOo6EEmlCQFInq7NNbCM4WLznBPzxe4seffow/+9pujtaXRMfzPIq14lPs6bcQ7JFmcKq+aHnCQy730MUChiZz5JFDhFot/OYePHV1yvmR4zyyYx9Sskyyc5ymlUTTTSIZmZqeoWv+CG9272L9rB/l8tMjpy9pUFJl0pSQG/4N51ijdLRq3uhPytzd3H8JCVFm+BmaQu6f8T+LTeYc2pWP0i7NUQmrWI4/Y6nsneOeu+9i+tFDGBEVTWtQoJNEs0wmWyJmWuS8LlJUSdpL5+zvXUdINCmdQacwz3V56PtjxDoOo+R1nIn1qANj5Mf2PeNjPBtuv+NR3uBNUnV7sGSTmhol7lbY/bPNPPzjTTTi/pI9hMdmZ4CxqSP0b96KJMvEV13AKreDioijCxNLVulqJTztLM6S6ehGEt5JjcwLh3cz2b2JmS7/gXBkdT8j7f2snRfI1IhIDgOdDRR7kkrCD1tcF9mNVUhhmzE6vALVeAdp+yCXXvRmAFa1CpftmxtZNEt22wXiSobtyjDCqlOPR7hx4XYG2MeGqsms0oMUtrDdpVXdRe0biIg67aUYkWYWQ5WIdupk5U7iTo24DUhRKpEyRlTHcpokqVDTlifayYpMmygsCX7DRZEzpItzIARHvU0kpeX3YrTVSrRnvkSP1McC8zyQzfHD7OcoTWyjb2ocV1XpnBslNe8iCYEbu5pQ+yhj+x6jbm9H8iTWSO10vtUh0TeLY/uCvybhEXYsTClESE2BbFKp+ueLtjp0zZWfftY988i9bNRfzmRhB7foD2CGdOanTl+0sGFZODKMpVN85cZXo0lhhCpRewa9CM4WLznBj0TALn6Z7nu+xV/881f5bzf/A3/+zx/lI//nI3zubz/HT3f99JT7eZ5HPgw90iyhWh8Nt07RKhOrraKzFalz4MAU8+FxxuL7aR4/2Q7XrFX54Wc/jRLpZHXfcXDhK9JNAGjdeWphlbccuJfXTpW5YuAVJESZ3bXT2/PKmk5KFFGaYZyoAri0l30BCZvLZ469F11Bv5hmSn1mkTq7mgYDVQcrdT8A7cxRiChMtdo7PrDth3z/tXNMFrczFlqFqtcpSu2krBzxKYl0ve7b8KUGSXvp4dM59ES1xKdOZvnyj7/AP3zfN9s89rM7qGczRNqOUSl0Mn04jqw4fP/mL3D5J37GhX9xF5s+egc/2jPzjN7bM+WR49NEzAFUyaKmGFSVOEmvhuzEMQyFGc/3WbQ3LbqjMvMTMwxs8iPMujdshlCRpJMghIUpq0Ry/uewr5wjluokhInxpLpC6kyTilZithWDfnzNFsqMU4kPkpibplPp5hXVY7RFjlPMDBJ2XXqUGZxaHK+ZopMspUQbcWuEno1+Xf6LWoXLxswaY4ZF2DPoNCLsdMrYikM4nyXb18dN437hwoHGNK6sMkM/pJbMcf1XXMYaZ5xUo4NIYwbXc3A6IUs3SaOGbJnIcop80sLSEhhunbhXo6adbANPiQpZ4YciX6tdyIXxzYQci65ygVF5HRGtinvCKrAohwiJJr0j/sPL2GxS0FJELUGo6bJpz1427XoUo1hjcDZKwlGQ5DBqKMfqV/wGTiLJgBnBdg1+9OOfsHP792l6EBE6HZJByLVoShE0OU5crtIw/e8l1pLAufxTl/SuZ6ewvt+kYuf5RWqemmxRD8nkZ099Tdp2g6oncGTBWCpJI96HEUrgymCUV6644EtO8Bdmj5FacxnNVWE21uboOVJCmXOxNBdHcnhw+4On3G+80MBWFbqYo6d5EWNSlrLVoM/cQqfnm13max73XHYvd1+1E7kkLTMbCc/j9s//Ldk0mOEaHT1H0fM6k9ZlOFaMUNsMLiUuPbTA+q5fYe1Vb2GdOM6wnjrleGzXo6pGSLg1FNtDHxzAkyC+4CIJl9CTrplIKkGv9cwidTzPYywCl5Ydqhm/aFVanaAaUjg0V8EpG/xodZmfym+jHq1zlAuQNYOikqbTnGdaREg1GhToIKQ0SdlLs3k1GiEhqlSVp3ZofXPh+3y1cgvT02PsuL2Mp30dOeqwxnojr1N+E6uQom/dIa7f2s0vXxLjuvA93L79e8uOIYTg/kIV61n00K2VqvTrxzhsvhJdGsXRq5RJ4QmZdxl/yAe9j/CodA1Rs8mFTh/6Wj/OfWCLH1HSObSaqjrJWreHkGdhyxqUJBAe+0pVJEnxG5k/qbCZbm+mJo1TSHcyWKnRiMSYysDw4NVsGbNZ5akokuDq+XEq3esZMLPICHJ7ykiNOBlplnIiRTy3sGjSW7PpClKiyKyiMO06dHlZ9GYn49o0Lg5auUAqYjLkLDDi9XBhwy9HMCbWonbOYzT8lUnn4BBD5QkUqQtHzIEkoyYbfkhm08KySmgiRi4pgUhiuzYJt0HtFJnVUblG1utBcWy2Kr0MRvwQzKH5CSb0ASRZUJ/yV3Ce53E0PsRae5RusxeoEfUXwLSbQ7iSx2hPB70DbyPf0YbuyCTsARAefZ0LFC9bjSRJXKRcwELoKNXpCUSjTK56JwkRIew20W0LgwiyEiEul2i2HK4J4X8/C5XTT7xc22Tuc/chCZ0HF37IQrsfDu0oEqWFU5t0pkbupi78IICK7v9samFcRaK2gh3hXnKC361olDSHAamLV1gX8Prqeq6YUVi7exy1Wsab86g2T64589ge3y7dxTzttQ1sC8sU3QXaSJNo+rPe2aTN15vv4N/mfoNsZobC6FKG8SM/+BYju3cQUtcy1DOCpDg85L2WzQUTM99PKj1PJGzTqPaTau8kFI+z2phnXstQtE5+4k8Xm76t3m4g2SbpVVsptVnUZrJ0kKehnpwd2NesYUgRJupPnTOwZ6pCMyRzUdVAdM7gOBqdmh9Vs3+yxP0/+hF3J64FICpVmBKDGFIYQwkzVJvBCvUTr1cpyW2oqkmisSS4kiSR8GpU1dNHPpRKebJKFheXv//8lzHmv0eqzT9/tJxBkw26599IuHOad8gPIC3cRZsdxyotD/X8v8cm+PU9w3z7hO/hmXLPHQ/zSi+H46UYqM2j601KtCEkMDs2Mt21law2RLpZZ7XVSaHmoEcidK32w081PURdLbGBAXRhYUkqnqETcotMNlt12DGWCb5tW9T1bmYzvqnjwvF96K5HZesNFBKCLRNR/mNghm4vxeWlQSbScXq8MWxLR7idKLUwPcoMrqrRlo9gmv4MOdnVTZeXI6vFmVP8kEyp2U45lMXxatiqyq+WtjEpMvzf0Lt4RWMbuutx3N5IqGOY+Qnf7yPJMv1TJZAUatEqTiJNOFYjTyeZmkfdLhByNSrxEKg6qlBJOgY1+eRVZURukBMZUvUqIVkjoWioks7Q1ChNNUqWbiqtOjgHdt7LjNLPQHmeQbmLkHyc0M5/QgiHqFjNdKZJOR5nTfwioiJMNWLjRTYTUWfoSA9x5OABhBqm12tnw3uvQY/EkNs6aRiHiHphJMtoCX4YT5dJyGUs1zdDpVtlpwtP0cNh5PP/QchZxcH528nHJKKt+vmmIqi0akk9mcLIz7Fo1QdSDF42coC6pmLJAqMRROk8bzgd6/j8K9/CvvUXsrZNJiMPcmXHm7lh8L/zMmkrqlD5ym1fO2m/XXf+AIAOs4RiR7n80nbmlHFkZJS6Qlg0Ody/QOWQhnS0wd2rysw/4teuEZ7Hzttvo/3izTQkk+6+AzjTSb7R/k4KmmBvrotQqEG4o0k1Mkj13z/MQ/+0hw0tx9E9w8dPGs9E0b+oYpaBZ9VYf/FVeO1F6oU6GRYohsMnzeSHWskdj06ffLwTuX/Cv+DWK3uRJMHszAV04tsws/N5vhGboy7F6fDyhNQmVjO2aI9dPz9HX2qYWL1CTY7jaR7t48t7gsZPIwJPsPvo41x6TOLd9/bRO7obM5ph3bp2ZCdM/5svo/+mzSRnLwNPZnT2dpS5Vhcqp7n4nh+cWeBvpvwxb5/eddpznY4Hdu1l3t2IS4OQAprepEKKvlmT+y/axP+U87x138PcdHCeUVFh6vBB+jZuQT4hwclLRogSIiRsLFlHtnVSXpZyKzRVF76p5wm23/o9LDHBbPcgkhD0lvMM5ed5pC/NK9svodHxSuLj95NSJPq6X0tdlVijHmK22scrfuu30KoSXa1Y/JjRvVhTR5IkMnaRBbWdQliiW5ohZ6ggCfR8BTOR4hpxmK+l38ZIfJCUGGZNzWFcrCPSNsnc+JIdum/Yv4YKaYGnhzHiCp6k0Nf0aDgVIjY0owmsWAhFKCRsk4qUwHhSgllIaZKnk/YTJh9t4TUMTvklII6zgXrez+q9Y9QX/vapGn1yO5o0zGZ1P55SpBFbzXSmju1ZPJS9E1FvUktUqCbWEEmMIKcuJTI/wwavHbttnrHhCex6lTf95u8iAN2VcT0TzXZwJRU3IogpFSzHnzClW5nj5dMEGYz/8PtEFjZhzDzIQXeURtcAlVCYn1z8SsYSIYy5U5uCxMwuWu4B4kaeyyaP0Qxb2JJL3Qmcts8bAynBh4y/Qeu7mdm228leuI0HtUMcVo+wUd2A5kmUHxvmHd/8Bm+466e87qc/4/e++EVK4TiS8OioSSzIeX71V9+K3ePgCoGo+SUWDoVW8ecPf5X/uuc2tmnraBz1BWdhbASrVqVuddHXOYUSbrKj+RqyoQ4e703zndV+U2W1e55KvJe2wjBTB7fTPzKIJDzuHz900vsYnfCz+cKGhW1UuHTrVtIxB8+R6XQLFLQku48vF/YNwl8H75gee8rPaHuxRtT2SCfuwzSiZLOr6WgJvmlXuTd1JVeY+7i8PsZCMs2qSm5R8NdMF1gTrxJuZSqW1STdD+xddvyEY1KVTl9P5/aD27jqUB+xZgg18mq45A2QzlK3ujmQ/1OsyBxD77uY8MJWkmvGEaLJbGSWmKuSrZlM5Qv8twP7SVEkLYpMmmdmE3Vshy7lKPnGVWRyu6hk+iHs9z1dE08BNtUHHuGCYoXrKn3sajPIT00s2u+fIDa0AQ+XsGtjSToKOn1iAUvxzXRhYWGdIPiHHprDs0co9A3SUa+iuxarc1PkwzIT3T0Mbn4zF84YhEWNbMb3H2zQD3G0tJav/fx+1koLi7H4yAMcOsGp3WU2KMttuLIfkjlpCYTrkcwtsFaZpUwUp70fuyNJlTADtTLTah+yalM4tnvxOJFyBIRHLhHGCUWoRfyV2mBTou6UiZk2UjTF5NA6JARx08aSwuw/tmfxGJ7noWtNilIbnc2l76YjvIZUKYviuRwTF9BsjAGwKxYhLBr0zFRRJBlVGiUrUvTLB6jFB1E9G2SZqfp+BII+V8PRooS7R/jGThdZCC5sDqBepLLjJz9k6MJLuPCVr0IKpZAsAxCEWuWlm1GPmFrBsVUs1yHTylavnqIsiWPbSA+EccsTVK+/AOF5SIrG9sE+JtsyHG1PoJymcVAyP4ok+df/E9XVDV0gJDDclcu2fckJ/tjECP8n/md8Tfldfn/t+/jo4Dq+9TqTW94ww7+//nusjamIWJKrfnYbam2CplLmuu9/k6OrhuggR6zWRzHsz4AvetUbqNkWWt0vsVAhjXq5zQ3DD7Iw38FkuIDwPCb276F37QYKUp1w3xR/Y3+Ez2/4HWTP49WHjzGfzHDM2YTSPkU1kaQyH+blia8h8l30Mc2hU+ji9PgjAESaLjVMEtEo/Z5OM6TS0axQUVL84t47lu2zoftC0qLAsGkgnsKufRCHrSWLZuYA+fwgTrOdtCggC4+ZtI6Jzh919zDoCiZjvayvzS4Kfsdkia64Rcz0Y7XzdJI0ihz/+o8Xj590bFxJpXAKId41PErynt0ISUFLvIctVY/fmI9jJqa4I3oVvx/6E+7c82n0TVs5mE+i6U1eH4+h2VGibpTD245w0yM/Jq+k+MPZe+nzppnlzFLjH7jzF0Q1E9ULsy5/HEtXsVu9bNe3d/Gv3/o2qufxNuNCZuvHyPvpBwxsuQjXcfitT/4LX/vmf9K9diM1aZ6w52Cio8gKq6QZPDXFwYU8umdjtGrqNKol6gUHgWAyM0imkqdjMMJAYRbFdflq2xQxNcI7kh9mU/0S9kUNJOExKE0yrK3hh/ZrWbDUxVj8ZrSbI7NLmdo91pLjvJtZyqYOEf+1N8X28fXut3MVUdatS7LXW0Nvc5SmGqFAB6axlCSn2SkUpwiGAzGFguYL4pqGTN1poDl1knqaiZ5LELJLsuF/x0dOmLQslOeQNYuKkqTHBEe4OKJKe6gHQ1doq5c5JjbRFHPUJvdyKLyO1Y0pOizfzFKQCvyTcwMXqw8jZIWNuXVkUwYSgqmuBh21dQAovdOImRprkoO0SyEKEtSLBV72K+8GIN7Ti2f40UDhVpy9ERZElBpYHlONEj3tvmO5dorJSe6xx5C1BPXUFLNmCTvZhqsojHVfAEAxpKN6J5tWbbuBbJoosowjy+it4nJmy+finUEE2/PNS07w5/cc4g+/9xWu3bedqpvCLvdwxLicO8Xb+Vf1JnZv1ECS0EMx3vb9H/OJf/0ayUaUYnuMLuaJV1dzzfUXYxQqKLfuoN7Mk2ysJcMCQkj87Zv+O5aucumhg9y3TjB/dJjxPbsoaAOMru3ko6m/4pByIRkry5ZciVe1mqDc5b2daGqOeFiiWm6jX95P2t3HGnucUb3rpNlwVfYfOvG6QrndD8vscLqZ6mqSLLWcyOXloZk9Wy+nX0wzKUf57qc+esrPJ181mY9JbLXnkBSHQn4ARzJxzAhtbhVHxLnGfJw3XvYmUo7OmL6aQSdLgU4k4aGWyuxZu5Wk5Qt+gQ7KmTjlz/8dbqu/a6pVUXEsvxTBMJar89Fv3sdtH/szdNujTXolmt5Bz/ot1GMHQRJcfccx5pwuPqX/d37lu/fx5d738Cfi8/zGFdfz3Vf+Nod71/Od8rfYGb2Yd+TvJfRogS6rxILSfkbXyN0P/Jx583I0q4g3sJ68VMUI+YJ/dG6ceH6Bl7urCduws7QbJVJD1UP0rFvPT+74EdtqA/zoaIPM6rWU5RlCnsCSQsiKzEArk/X7x48S8iysVmGu3du24VpHqMbbqWthVtnjbG3/Gqn2HIPFBXat7uHeuW+hqXGSSpqdkToZO4eOxc6+V9AWKvKH1d9EFzZxp0Yp0clocynnYg1LPpMu5jGMOLWCgSRDe7jJ11e/jfWZTVze1c1edT0X1v2iayPuerykv7qrT2Vx1S4sNUeiXCKS8h22sucy1FAxCWEqJRJEKGi9uKpDvFX+Y6a0FNY4NbaHstyGkGQGTJW6aFBTx2jT0ghJor8wy6Q8RC3cYPv2m5mT+ujOlekV3bhYTKseN0tvIB7zH0R95XUcHvTNIIdW1ZCdtciugaPavN25mNflh3BWz7Hj9h/Tu34jg1svBmDLNVdjGf59pLeuyWZYoCsNJMsvoNbeNURIGNSlk6Ww9LB/74a2DDF5cB9WWxe7BoZwlBChuQqNsIKkxU/ab3rkHkblNmRVoq6FWR85wDUv/zZSqw2pLCvY1srM8l9ygr/qqnVcfPRu/vKf/y+f/eYneI1xP39UvxXdklhnTHFb8kriGhhtF2A7Ekcsl32DnZRjabqYI17rJXbFVez7X39J5J4fUDbHaa/7gu/IGkWpnS/+9nu4angfv0ivYv7hQ1Rnx/jPrZu4a/BVrPOO8ce3fp+snmFzyWA87YebPaZdiRv10FMF6tF+5mfjvCLxr2zKFajLcQ6XSovvQbgu5ZhMXFTRm3GU1vI+ndrIZHeOWN6v0leJLJ9dxHs76LVyvPPm78H9D5JtFXk6kXuP5xCSxFp1J46j4Rb7kC6Zp9FI0UGWpirxG61rsTG7wIi8jrRSJSsyxJp1jLhL/KqbiAv/BizQzpEtGaKVOY78ne8baWtFPgzPjHFkrsq7vvgQv/zpH6D++J+QcUnbLtWOa7gyrpKW0ty+9vsAbN02jOZITMtDPJaKU9NjJM0FrhM/IWq75OIptsv9XNA8xu91XMT7Pvt5MkaDhhQjazyzG0h4HqX2PXSXt9A7twNn6Apm5SKG6pte1KlDZOR2LjQGeSj7E4zYNYSdKn0XbAQkPveo/6DbZ3SiaBoVKUfEE5iEELJMt+zb2B/NzqILB7NV0XTvg3MId47ZHv/hdGFoNyJlc2X8GGuz0xihdva2h/n53A95PHc/k20phrxx6o02alqal1+ym6xowzX8Uh+FVJqcNcr4tt/h2N2/xFrtR2wRe1GEQ5vVQLg6iblpVsWK3Nt5NegenRsv4Mr2PnbHNnJt/V4kIThmbUbrnMPzPEa++xOa0W6MUJlEvUJ//zALdJM06+iOC0ob1XAZoUTwJAVTt4mW/c+9fEL+R27m4GLdpVV2lCm1wsOJY8TVELocZs3UGI6kMZrq40HZt513zZXoV/uQpDFGor2QjHGzeAMxYw5d9DM8UMd+6+XMZAxsdRVhd5L2So3OsEB2wzQyHuWFea7+lXcvRi9tveaVNGwDSbBY1tnUBbpoIlkuE/UysY52vyb+KZqgiFYxwY5XX0M+l8OJxDncu4HBmRmkPVVKNQ1Jj1GvLLfJF0Z/zqjcDqqEE47QE55E00wSkn88RVWoFQrsX8hz86Fnlhn/fPGSE3wp0cun35nk4BqFLQ8Pc90d9/Ko10MzLHN9bpKi1M78hiSebqKmfhVTj2AoDep6nC4xT0J4eLZDrjjF3MtvZN45RNppI9Wa0V5hPcKdl7yOjeVJppu97MpNMTl0GcNd/fyS+AH/Zec/0aX5UT1bCnUeXruB11n348gq9/EG5K5JKol+dpQvIKWV+JXRRwG469DOxfcwv/1epiJtpCkgNeJE2tv54n23kbjgZaQSVWKtbMpCEiZySw5TSZIYLBaIVOeYaI/z4CdOLk/w0EIFSQj6UndRKPRjdhX5p9gHaDSTdMhzZMMK3WIVAFXKmLZOKFwlLzKkmiWklMfare9C7ugiZlsU6GRhIEQl1YF9879ilmt0tsL0ZkpZ/um+40yNjvFruR+haBI9v/wWktLrWaN59CgaridIxPIUDYltb38l9UiMm+74Nr/74I/48A/+nqt3/g3vlf6DfjtPNRwjVZ/hm6++nstefx2KqtLdKhm9b+Hkh9up+PG3vktNdCOhoChZdGHjSYJa2J8hx22PtzYuYk/lfirRVzLftZpIuUL/pgv58e23MexkeGt6EhOdIwf3YMUkwo6EJyl4mkTU9ldfo0adsOdgSToLUyMYM/MgYHrVekKOw+a4P3tUOo7RXx1B9jwevGwVJXOEvfZeqvEEa9VjVCvtJA2TydR6blrzVUyjzY/FT6bRi3UO2w8wxUGc+FFczyDj5rGNGK6rk7BrrIkW+LfBd9DtFEiv6uPCVA97kxtYZ+foaVhMiHVEkvPkJ48w+/BjeLKG55XIXFqiu3uEWXMtyaaJbVeR5XaK0TJmq25SI+wSaeVtVE9wZtfKk+RbrTBXWSEm9ByPxP3vp03vYd2Yn4E+rKznQGqAqNsgk50mraWJy8fYm9rIbxQt/sV7A+3WcazQahBwt3UXuqXQjPQSC40iqi7z68uo77DY8eBDdA6uYt3lVwHQXChiHp/HVVNERQjN9FfDTR00xwTLY6Y4iarrREWT5inacqr1EJ5V5J7v/CciGudI9wDNUITuoh+s0bB0hB5mbnJ58pU3s5Mp2hCKghdViKu+diRFGVeSkFQoTs7xFw//lA/NFs9p74iXnOAPZgb59HX/H596p8TR1SG6t2f5bz/5Ty4x9vMH17+bdeY4d3RejKd4CHE7w+v7yA5dCkDGqhK/aJCx7/yM+Qtfxv4eiUpoHlUoJFvNR/qOT+LIOocuvoD+kQnuXx3iF4MXoHkW1zu3kj/Uy4Gtfaiew5psCbtb5z0Hy6yar3A3b8HrmCDXswZlwWFfqZvL7Ie4pHqAx0pLwl166Ftk1Q7SlJDqOvvnLT79izC7HcGQC0ZDoAmTWkznnlZ00ROsf2QYS1UAieLMcawnpYzvMU1WNRpE9ByF3AB71gyh4lCx2uiUFsiGFfbunsA0DPJtbchVGyXUIEcn7fU8JCNoWpS2wQ2kmwYFOoiFHMYvWo1uljn+f79BXyvmet6sMzo6xvXTPwRF5q3/+1OYu/ayduhlXBwLYVbniSqPsibscMRR+Ppl76CvuIAc1Vk/e5yLdhzmd78hELNJMuoElXCUZGWOgfhSBFC/6d+o+xaWbrqxY9vY9r1LGB959KTr49vT32PL1JXE6jOMXPVGpuUCCEFDiyEJj1+rbCRrDVPSr0Cmm7sviRIuVOjbuJnPba+wSZvnz971WgB2HT5OavX6J0zlOCGN4kIMTTSoyALdczEI8fjPH8G1DtJet5jr3kB3bYFwrEJ8ugcRFVzSeZyB4gK5nouBENkOf0W3VjlGrdLJlkKZPdJlXHTBYRRXpUuepRJPM7Cg0d32D7zujSOsf/l2hsUaepinZkSpGr6IpLprXJO8mwEjS3Z+gls/fh3FWIy8SNJdzzOr+jHxk4//CK8VGZZJHWLgyhly2SGycgeZpkndKSPLaXKJOpXWbLgS11CL/uSjpi+tNu1mbnGG3214jIdmOBj1zTPt4SE65meI2Q2G2cBBLqS/Mk/UdNBlDV0aIeMM8naRwETH8ko4Wpzuaob5UINr5vpBUoi3HSXZtNnx0zsp2BL5qUmu/uV3IbXGduD3PkT+999PMtpJxFVQrZbTVpNQLRdJwGzev+fCwjhlTXxN6sR25zlycD9WqoM9Axvpb84ytjDgv09DwdFCzB4+smy/dH6MvJ1GKApWWCYS9j+jdlH0y3coMH9kD8WQgi3pjM2dOrTzbPCSE3yAV696Nb92wa/zF+92OLqqg9j2Bv/09U8ys3OMd+9/lJzUSXFdmplV/YiUwkOb/eiLnrrHzekw9z34M8bCVZqSRTGdpm4ZpKv+MrHSiDMgxrnjNa/mVfu3cyTUx/7uXl7JNrxjKp69hod719Ndy+PaBjeIuzCPaPxmZzs5qYtDHW2EU4OsyWb5nv0KTC/M3x/7G4aVJRGL5x+mpHSQdCvItsMRM41ctblrShCX2jiSMMiQpRqOUp54UljYVBGJMEr0FRRjIW7/gz9e/JfregyHBZucCTxPppbv4BfhV7F1YiflRpJOcjiyxPcv3sxffuYfmE71kqgUkMJ1SnIbA/lZtNV+3fvMwBraan7oXUJz+EXbHI2ONVi33sJQh99hqOi5dI48jOo5vO0jn2TL6DBvcd5Btybzc2mESOKDxNP/B0WD7eJKZqPdbJwbQxEWA2vv5b/8kcLP334p+Xw7GW2MWjhC0pIpNZbMN+sV37dwrLTUjOLBA1/jH9p+l8f3/E9KtaWwwCMHdjEemyPuriNZ38MFXgcT0gKqUaeqJkm4TZLCZSG2mooZZXbLHLMdKnq2yI5jxxhxMvzBy9rJ/s//wy+PPcjuqQoDG7eitXwXdlShNNFDxlvAC0XRXRdHhDi2vQJelUylzkwiw2pnDIALrvokejZMe8dR1mSnaeqdHF4bo9Dmf35DjOFWMmTyY1hSiC8fugl7RqFHnsZTFBJmhv/36F7W330HV91/FFeK0yVPYxgx2rxxoopFcfAKtrKf6yM3c+u3/4xfYTuXyFPs89bQZQyTCyVpEGFubheCBHpilsFrD9Iox9h7/NU0dZ3ehh+SqbsauZTgYMcWdGFSSsTxjCohYdDQlwTT86rkyRCxTGIuHI+OUVOa1KjRHhrAlhW6qgV2cQVZqZvuXIUOx19h6fIIvzrVTbiap8uReLRVNuLq6dUArM35eRCRvhHWzBZwGlXu+uL/JdXdw8aXvwqA0pFxIocfQnFNMmEPzRGIVja4qcpEWkXVchXfDBXxDJry8vIQpWMTKLEe6mIOo2uA4d5VlGMxrqrcQ82Oo8guUtOlGIswv28pWspxDHobZQwnjKvI2IrEbKSTz/NHxKUyTjiKkGF+5DBF1bf/7z5++vIqzzcvOcH3HIs93/xVfmuhgx6lm794j+DA0BDWTgn90zfyxi9/nzX2CPd3X0TYSdC8oJ1ey3fstDdC/GRugemuFH1uO3r/ENl4DLOeJVlrJypqVJNtvDp/D0e6LqCnXCTaUHAVlev4MbO729GUDo6GV9NbrFAI2bxq/wBD77iam167mZRdYVvkVURjJp4kk42u477s1WypjvH67GM0HRe7VqVbnaaqpIg7dbAalC3/wjjipPC0fo72L9BhZSnrKYSxtJQe3beXkiojhy5EDV2J6mnM5UepzfkOtccnShiaxOrQdsrlboopBc/TeOPOtZScDXS0IkDaHMHXXvUmjsbWEqtUqOn+TGTt1ByZN70XgFimp1VeoYOI7nC0q0roV95JuDaP+9AIMVGlKMmkrBJ2uo/VP3yQ/M+jmJ7C9pndvC78cVKhBsf11/pjl99FzGwwWBzjHrGWf25Lk/Fg++u28OcX/iUZsYCQZCL08ouDS3WM+vo300GOKWdpWfyg2sZD0qv5t9R/4Z4fvBuz1ZTlK3d/iWuPXQbAjkt7WdOUKMpNiKtUpCQdjs0D+iQTWZlLtrQxOdREEybdbQP8484mm7R5Vu/LERvezhsn97C7FKZrzTqUVgKUE1JxCnEGrSwXZ5Os3dXLn/ywhFceRRIyU33dCElik7ofuSKTuuA19EbeRihZpS80gex53Hv1Bka3pEi6FZJ2la5tu+kuzaG7HrtWZdifvIAuyf+eHHWQ0dwC4SMW8f2PIpQI3dIshhEnnZ+hI26ze/Pv83E+geQJ1l/4OONdUS4zj7JH3cCm5sMADFsbscMLNNra6H/V53BdhYPbr6SqpwEYbArqToWI5ZFNSsxEh/hd498w9TSma5IQNWraUqSUJPsTgc6GhSc8RqPDyEKQVydo0zup6yqZUom65IcR9xUW6KUTDw+HOSQ3xSNOjA12hR3xIVS7zuqyX4oi1lxHuJlFDlcx5xX6N6TxXIerb3jnYo7E6N9/BbkVhqk2ZpFcbbEapqWqxOxOYjQpW/7qMOKZNKXlgr/w821IapiSnAVJYffABjqdLOXZGEnqbEpMIjVd8gmF7OTS9Tg1cjdZRSFi6dgyCMlmn3Yxj0jXYusKdkzGVaCRL1GS/c93uPTUZR2eT15ygl+b3k0+uYcR8Xdcv1vgSFU+8tur2Tm4AXNWJTlosLH6XRaUDFNDSczH+5DjvoMUL8rFh0cIoXFZI82b7S8yJHkY1RGi9X66WKDS1sbq7ceQPZvxzasYSyfY4u0nOpnDqujIsTCupLKh3ERKTpI9WmXNpVdw9JP/wpv33Md+6VLmBueYb+/hkoN7uCuynmFtDX82+hUe2LWN6Z99m1wogSNpxKwmTauBqYVQdEHWlimHLqARcWhrlsgr7dQkl30HfJvoti98HiQJObSFYlxBT7yeekjjjj/9EwDun/RD1NaHHiOfG+S+oZfz8tFRwrZGWy5G2vH//zJ7D5ua41hyCKUkU2wlp7Tl8qy+xm9qk6sVSdaq1KQkQhfMdjYQV/Vjxjpp/OA7JESVmqJyAQrvi19HI7eKaSa4v+Yx5T7EoMjxM+nVjMcNxpwNLMRXs27uAJdedQFd6WEOhRV+t1xkba7OayiTaaX/m3onDw4/tvh9t28YosvLMtdaIQkhmNX9JfcO6Rr293Xwr9/6Bx6/72EeUw+zpnAlydowRtelzCllkGDIdSiTJlUrY2a30tFm84r/cQklVSctSkxH+xh1O/mDSxLYt/wLAAPlCUbtDlzhgumbzZyQTLJ0IW+8bYi3PlIlOltgNrQPyz1KR63Bjlant0tijxGvDLJn56OMqldTd6NsaN9BXykLkWuYjq5myBsnW9PYcnwB1bJZW8hTj13MfUOXLcbiVxJ9JMUItUmVRJsfHdTFHE4jgW0I2PwKDhezDHsb+MbD76OtYnF8UxRHabArvpFXVf2Ep+PWFvRMjvDbH0SLlNhx38XgxWhE/Oiw1Q2ZpucQtiqUE/CzvR/gnV3Xsl7vxvMg4dWpq0vlFRTNIicydBkeNdcioTTpczVGogeJqRF0NUpf0Re5qGnQnZunIzRAUc5TJsNkYY6mgPbINqYSXSQroyjO+tb3u4pYbQKnLpHLhwklilzypuvZ8po3AGBV6kgP/ZjH10tYCjjZKTwpiiJkZOFiKyqql2G1NE+tVVwt4to05eWZ4dYRPwLquCIx3TNELtnGL4nvsXvhYl4hH6AiokiWRz7uYTeWKt7mR37OsK6RqGs4siAi1Rb9GUYohBGWcRSB0RQ0pZavyzl10tfZ4CUn+MlVV3Plq25FzqTZcP0cWvJV6M5DfPy338RnrngP//N117Kvvo8BMc7Owa1cLk2Rj7bRxRz1rErIdXijfSkeO7h4/hg5q4OcvZ9kq4haJdGBPaHwh1/5BKWwTC0U4S3Sj6g/2gZSmMKQf+FsKVlkmm0UGts5/ra3o9zyeX7p3n2owubuwQ5GNm7m6rFDPLLhah7MvRZN2GS2/SXW/lt5JOrbcCOWSc51GYjVaNcMvIpDU15Pl+MQb1ZoSDGausT8LXdhmBaV/AyK3M1YKMmjwsbVthB2NWabC0zvOsDj5ToJx6CHWYqz7Yy1reXCVnvDaLWdWKtdX8ns5/8N/xl/Zn6cNhsKsm+Tj1sllFY0y1QpR7zuRyfUQxFcSeKnu25Bfdu7iS4c45Ljh6ijc3HiEhRJI3mDwuPFNjpye+jMTNAkxH5rFaJ7gdu8X0ZzXRred7h/9j5E8hCekyBtb+DDo1/mc2s30lX0z1WJJDhYWloCJwd7yFjlxdDMmWKDGXUNlzUn2FJq8NXy7/CzKZd33jnNBVMaVriPau80b52qMs4csoCromsp0YZkhYnUR/lG219y7OFHmdIzpJ0yP65k2KLPkf7JA4TMGndeLhFyXAar8+zZuwvREnwrpEDtAczi57Eq/45Xvo3eyZ8CgvVzOUbWXESbUSatFnissolf+W6B/7otwv0Tr2BD4ghri+PUQhmMcA9rlWPsKV7N410b2XToCC879hif3Z5n69E7FpPksulO2pnhFRzGTPq1fnqYQy57yIrgLTf9OZOOS2Qkx7XuPi7aW0EyIRXPsadtM1fX50iaFlPeBvRYjXDfKAf3vQ5tXmCHozy8agNxo8GWqkLDU9CtEkY4xEBtljU/+QNe1jeEjErSaVJTotitipdqyKJAB32GREk06RQKfUYXjybGAGgL9dCfnQAh6C3nUBsN0nqGhjqM6XazT+lhbaxJzD2CLHlozVkMpZ8/m47iKSkkb4GcKeMt6PQ1pnjj//PfUVuO5ONf+CYhq8lPrpKYzICeW8AjggREaGIpGqrbxmppjobjC27EtWmwXPCVov9eJkO97Fy1kZRboG0hR1OEOeb2k2kFcWR1BcmR2P/I5wEQMzs5rOlELV9aY5QWc1iqoSimKmHLAs9eWlFklXMnwy85wQdIpi6krf2vsWSNjyXvp0fuRRU3k+keY7x7H019C1vcA8ypXRzo7WQhlKZLzDNWV7mwoNLpxkhLe/nHwpfpz72FKW2SlJmhw8tTCrURi16Kt1Hn0Ga/U8/myVmKhRSytpqj/e10WQt0GHB8fi+v2j3PZHudf3xHlOkbh7jCepyHE1sJdV1KyPXYuHc/u0ID/MvQr3FZdTer7IfYHvUTSxJNl1lJ4e3td3JN3zYky6NRTbHBshFOKzM2BU0vxa5PfxFLkZDClzARL3C4Zx5DBjv9VmxV4d5PfYxDksMGb4RatZ2iHSVjzNExEyNan0NxI9AIERUN8nI7ITNEpFFms1xcdMDFxVLc/7zVINpq8VbR4gw1o+wSO1n/h7+NrUW5/p5tiIZDWu/GVGfZOTuPkMJ0zf6Mt6eO8Li3GUk3sGPwuH4lb5my+aXEK3hY7OSwNoxovJxPWO9H8WTq3/xDust1FOFQjUQpuUsOWkVVyTTrNKQYOdPk8UPbmBF9xCYNeDSP2F5nX3Uz13V+h8umrkDyXH70sgu5wE4yoxTo9zqYbf6cCikSDYnL93yJdbMV/nLffzKj9tF1bIpp0cF7Ogoktv+MB7coFNb7JraNlcPsHp6Gln3YUyWSzSIL60xuf92vcfDaa/nn932I3vQbaWuYTGaGWOWMIQT849xr+dXOST52fZy7en4ZCbhOuROpFbGxWhrhv63awlv+9lOsHxkmYplka/vZNH81mueQcKrk29pIlE1CnfuJmx1IQtAp5qllTZpbriAZizFhxFFG6/y6eg93N7ZSnEowqA0z395NXrTTXckyq/oN6OeGr2Gm1I+xdguPr7qIfDzJDROH6PbiNIkiKFN1e5j7tX8jKgTpxk+RJEjYBlUpwWzJdz56IajJCQYsjXm1TocUIulu5rHYDEII2kM9JIolXnN0N1eMH0EzTSJKhJBymFpVZei1f82F755Gr0KvyFJtNQ9plG4EQETmmHRVdBM2lueplv0Vj+d5GLfewkRGIZJoZ7ZDI10so7bKd4dFE1PRgCRD0gzNVj2dqOviSDpNZ6lUtObEcdwy8+kIs+lO3i7fyt6xS1CFw7/d9Bpu6NQAQYEwYbmN6r2fZOTwD0nlRzmihNE9BYEgRXlJ8LU4liRjSg5YSz6PvLo8cXBhbjem+dT9rp8tL0nBB3h0+6N8WvoYrojzW21jyF6DOy/ZhaWpaO2/xHW1x+kV0+xas4GSmqLTriDUGJeFrmTeOMqPxY3YyNy26hfM9oRQTEHKrGHJGlv734zTpTKb7uQ6bud2p8LGci9a9Dr2pAfob8yhuR7JhUM0dai+5+1M9Un8vfgpF2d/gSFFODIwSC4Bbxi9h3vWbuLe7ss4Fh0kJNtMhP0ZfrIhYcUiXH7Bg1zW4YfxHSLFOhMmVH/JaUVgVJ5gwLiErtAqJG0dxTVfJNL9txzpehhZXYvmKMxoDgsRiVXafgr5QUbSfby8mEMWEYYmfkqk0aTRSNJBllxU5/uH3slYcR2blQXyZFA9h87M+sXPtyA89Lp/I5bVBJeWujmUdnl8zzdxX/V2Ltx3lN7JLAmtHZFyOHq/TLw6zHT7JHW5g23Sy4mlLe6R3owjqfzOhMMh7SqEJPDkGGsS3Uw3Org/9W56rAfp0GJ0kqUeDaGKGpa55Ljtafg36r6FMXbMPYzIOuwYjWGaFV7W5tJ4TT+Z8D5k7Sqi7hEuGxc0JYeG4tI5vI/xVA+2pDOUTuMmO3n3AxKHQztYbe1lZLybjeHDcPfX8WRYd2GD92vDNEJwceX/b++94+wq68T/92m39zq9zySTmUwmvQMhhAChgyIq4ApiXRVdV9fddV13Vb66tv3p7oquirqKbQUsIEWQTghpkF6m1zt3bu/3nPP74wzJxgQSSAKY3PfrNa/X3HvPPed5zn3O53meT32RreMFnCZjdahbYPHBCBc/MkLUF2LCHwbJgX10iglfgJTZwixpJ/m0k0YxxRc+cAN7TEWi1jBqvIam4AvUJAz1QCP9BDo3EFzShbjgQmqHR4hJMTJ6Gb3gwq9NEXN7qY3o7PHswV6qwqcm0QomSOdYuP4ytLLKxF4bF8rPIxVVdg35SI/bcNoSmE1FXtCa8eb2Mmpxs2nzJewbacOuZylkUmxqmk1vJMmlSSiU0yB6ycsJimUnewYE9jp8NI8/hi7qOAtFkrgYGNpFppAhaTbUa9V5GFFiBGQTteGFZKU8SbL4zLXI6Tyd4wN4M0kCmnG8XdhPMiwhhIY5EP0mtoSJWlOGERnQVfKpbkSthBwYZWJG/12eknj8vn8HYOAXD2FNjPLbJTqXNl1C2uPCkS8TkJKIuoBFy1MUzShYsFkHKZRfEviGfj8ys2NN9Y+hWEJMCVM839yBXUuzKvsYT6d6WStM4SnmuCHyGS4UN5FSbUgWH49YbHh+cTP12QR9sowggGrV8AjRQwI/Ibso6yJlQQPNjFAqE9bGiP1Z8Nbkz97G2NfnvGK0/GvljBP4ZVXjV7/5Ff2lOO27ptn97Lm4NBfz3GEEyjhcy/hQ9Jfs29bN2tQfmTCF0QQJXzbLRTtHMMsOBsXNWDIdbHGN8GL9GlzBOkqpSbwzhcwzdon7XNdj0XMsi+2jdW+OorkBTVKZsDuoSkxTVrMs2q8x0bOA5atu5MrAh7huuBFvpI8WfR/3tdjZ2+5h/lAMfWwES0zkw7M+TaxsJSMZA8CdFOmqf4FixkNbfhhB1JjQZKozMtOq4VKWtsnEKJAoTbM8fCWia5xJS4x6+2y2No0hIbJnVhMRXxhdFGiij8RYmPFQiPM2HwRdo8P/DIHoTgppP34iTNjg2akentqxglqzscJ35VPYZ887dJ8TooRcMAR+THKTmj4Hr6bxdwf/nfH2Z9FEkbUvDiIKIklJpFT00NT/AOOzZvNd3kZattPr2cRDrKdxegRvLsPi/WYU+wp6PbW8RdyBLsCXcwuJ00wovYMgE6RsVoJZB1v2Hk6YVlswtvPbJwaYEHTESB6rVmJ97Tizk89w8cQTmA52UDJ5mGqJcMFYkQHBWI0WCn6yLmOF1VQTxPfXH8GXVln3fBpr//8St6iE1R+zaF8JZU6GBUoc1WxjOAwtsQm2pj0EvTM6WpPE3Wu6cOR0vvXlz1A9UOK2e+M4EsNsmzUbgG7zFtJRF/9x4wosNjubUjnqGcQ/fQHYNM5NPcbswi7CySkcdd0AzLn9k/Ru3cW5j21CLpqx5EKGl5bTS92UREpJUVZCBPVJCnknOUUir1Txw1/9HC2u8VeWP/Cb4TkIKth3awhAbXacHWILzeXnKUkC9uRifJPLuCjzWx7rXgrAe/YPY806yZSTCJKPpCWBVbXxg+ciZHqvp7qUpyyrOPNFVEFhcGAfA5MDJBXDGBvO6wyax3GbPKyeY0S/Tskj+ExVUDJUJmIpQ0AxCg759QNMtSb5AN/ju7Yb8M7SqJWzDNl9ONMjiLqEIzWEvWYau7OdhA2SETPpPmMsRH/wQ9IWmc2tAhdd+H5M4RoArKVxLJoFi5YjL5qQBBM56xSlooyulrHphgfeWNQYE5OPbUZ0VrNHSTPoD3Oe8DB377oETRC58fxu0g9/F0ko0yX2kyla0C0uNpadiLqOpOsMW0QQdEpOUJQ8ReGllBE+5JmCM5JipWZ0gObiCNOS59BYHhl4jO7YGJHGZYdcTE8lp+SM999/P7NmzaKtrY3bbz862KdQKHDdddfR1tbG0qVL6e/vPxWXPSZPbnqMF55/AXncTm08gnN4An7gYZ3Qz7WhEP+QeZTOb04iJQ7QMKET0g3jUU26iNPWQV7N8KTZhSqobBWaaAkOM3fBBpjeTzBtDIxHfSn6q+o4h0cYngzTsKeKqG8O0wEVBAH/VAY51k9eFvhuzUo+fufDLNrzNf6h9DizpnTW6fczYnUQmfVXyBqcO/ELduRq2OKaww/O+Tqq4sGqZzClzNQHR5nYdhnlsU5CrihaSsVeClDW8tj1NCmrDV2S+FPi98iiiW6rgxuji3j/2FKm626h7IXW+MUMhY1dQ1VhgtyoyqzyCGq0AXfyAPt7ZlOV3UYhVU2AKSYsEv/QVkbXwGo2PC5c6SR7nIdX1UnJhC6L2Mt5pglg1UxY9l0FusCXXAPoLWXa0yolAbZFPAj6KFsW1ZB2dGGWUvxq/nk8El5MUvAwd/AgW9jPsoiKY/cC6ncvYv2sxZgDOgdyAQoXfAlfMU6ISRJmJ1WZAI/u23ioLe2yUV1qb3yKqLkKeTpPUEqhpVNI5SIf3fsf+KeXIZWzPNFQS4tYxV55CKlUYqpmBVqNsVvybfskI9mvMdxUxTVPCaTE/fgbvsbbH8uDTSW/ug7hQ8+TWvBO9ECJ+mielCrheamcoSyxyqHxD2/zoQlF3n/Xf3LQ24+pvJetcxcia2UahH5cOStNbZ2UNJ39Upi2Yh/NK29CiZjZYLmbTxX/FWfKf6h/lqAH/8f/Af/UBOvu+S6ZmExYHCNhs+NLWvGkdSK+akLCCOWsjX0dc/jIXdv53FYH9c4p0ttLRAp2Fma8eN1/jVqUcNkm2WqfxfK04UNedteg6wKP+JZyoHEWCwd20yBP4Cg4yc4I/KgtRpdo5blcDYL7QmKSTNGk4kwbC6HJZJTxkZ1Mi4d98PusA8hyGKdSwKaLjNh2YJVtiJKFslDEnSjiMYWJCkn8eorf+ldTFMw8IFzC5qVLUOQiJYsFd8L4jdzJfmyuHIsbFrK7TiAetdKSH2Nq8x5sfZt5sFdnebkRm8NDY88io2/RQWTdglktUBDNiILEuCWDXoSJqRdxzgj88ZkgxvSWLQgmO3ttGrogUlUcZWiklXAhwZJzelDjj7Ng6S8o+q3kCgqYbVgyApvmf4An7X7KooAoSxTtAgWzsRgR9DLT+HFqKXRAsJjoHnqGUCFHQvCQmUm5PPrI5ygBLed/7mRF4TE5aYGvqiof/OAHue+++9i5cyc//elP2fl/3OYA/vu//xuv18v+/fu57bbb+OQnP3myl31Zaq0mlpZauSzbyy3xBVxhfSuz2j/Kio2f59p9i2jd20TWDBc++jy1FjfXZn+NWc8zdySJw9dFX3YH9anz2KOoxBcGWZgZpKt3BbnkC1THjZX3T5o9qKLEuYktPFEep2C5nqLJxc6uFE49gT8FTfv72dQ8l4tMj/Nr82cIK6NsPe9jLP3k75mb2oFVy/F8awfTLhOrD46SnRzEUkjyXH6YosmLhzhkFEYi8yhMxOl9+x00OIcRkkXitm5kXcejRolbDGNlSdB5PpOlrVTDdZG3MX9kKX/8Y5zlSpQexYK5YTU2PY0QNZPRNVY88hxJcwPT5TjvlZeStw9TToTw6VMkZRP5yTQjJi+CzRD4/ukEO+yHt5hJ2UbOruApGYVQauQJdulLqdu5lqwm8cXVEmZ7Df/eLvMPF7bw3+tDbGqdTbvpceJ2gYTVxu/Ml9BU6iMQeYGDSgQfJsrJOp6abiE49620V/dRLos8OyUR05cSUiNkJRsutYqtMSNxmKZp1NbPws8UgyUYVGsgp1EtJfGaRDojTzNqyiMo8ygywJK9RSRRISLlUYohAu2/ImkyVArB4iSLBzeyqu0FXNkyb3tWZe3OPI0TkL30MhZ+6Cnc3mbq576dKnceWYP2wvPEsy/lR5dZY3qEqNTDP96gM+2yc+NvvkYgOsW+hjbqS0PoqkRD7zoAno9GKAhmOhJJfLMbqLZcAoEciiOPy3JkZs6Wt19My29/Q65zBb7d+wiLI+iiSMHSwMqDZuIOB1XiMKWkwvPNS2k2JZgXeYHP/fH7ZJxXsqH2Flp6bmWWqwGmamhgnOeD3ZyXPIiiqox4XYiizvfm3YQvMU3P8AFE1xBOzUpayyAIJiLOJMtCjdjI8+PHdrO/eRkZq4AjaXiZJMtFYuN7iWLYExyZDAXTFBkpyO7RPly42e40olS9lhCLbDY849N4zVUMmsZIinYelC7CHN/J3ImN3GO5hrE5ZpprfbiShsB3pfopOhzMn3sBu+sFTCmYkxti2+c+hSYI3LcYrphr6PrnLV3PhAek6CSaYMKsFSgIFhBEdplFXIUUBye345pJcBfNGHpzYdwQ/FMz43162Eq/KcB6T5noI7/mgfBCRi0hptxB1JyIZhOpiYpsHx8l1nYrimpGkAVyZpnMjHorVOhjmgBeLUbBJKGbRJoie/HMVK7bfuBFspkIswef59vOGn513x2vWCD9tXLSAn/jxo20tbXR0tKCyWTibW97G/fcc88Rx9xzzz3cdNNNAFx77bU8/PDDpy2c2O1roOjV2GyRmUjspD+/n5HiINM5G9LQBuz5jzG7x4orBwcf/CW1u6a4Q70J314VUZTZJh7ArFkZaU+CW6F2CG67e4ghZYBAsgannqCoWJinb6bhQCc9+1aQ9HTgrLub3UEPraU+PLoNPTXCyKwg75F/z2/sbXws8H2+uOdCPnjXTnKTNhbxDM+HXAw1djB3QCdkugfzUIo9uRQZswe3loBSATHZzWi5xF//ZjNJtw9Bg2c8HbQUS1jVSaKKH7GQpehw8Yj3GUblXYi6DUXYj6KnqSmGmW2VGPLZaaSfTCxAzmohPGGswurSL2Cu/wn3zrLiTGTxzOTq3l6sRhMkVHOeGD5c6Th9JhPXfftprvv20yRFBwW7CV8+xzR+fOZhepRBnjKtRzr4NnYHrZgd1TwQBncuQ0428dDc5XxqyRf5Y+MavMNjDAuNXDl1PwnfPlQR+uVJribHoO7g1u88wTmux9Elga892c/PxA3U5owHMWf10afu58P/cjc75i7knl8+SVCdYlKyMh43JsCQOk1+xzZWhcbonzwHTTKzu67AyrhMhCgiEjZRxjf7cbJx4158OfcuunLf422BfyRe5efiZ0Xe+UcT054mvlR99aG+f/DuNF6PYajtTL3IY3sMvXtekhGQ+NvUfqacEn93ay8RfwBVlBjw+GgXdzGRq+E/ttm47ttP869/egyAtjGBt33nGf51eB3CTCHxXw/UHbreS38339fHl9f/FUPmOYd88Sd8tawYMdIxVwnjZBMin7nvf/nMrgf4St5Ey8J/ojdwPlnJznO5PCkhjxBvpM4ywLTPT6Hkoyo6zh6nyMB8DwmHi0t2vIikiRS8B5GRyGtF5FKGiLvEjgkzS8yD/CpSy4/395JwipiThpdSUpTYeXAf0wRwlwrkS3lkOcWA6uHpoSGQa3jCPoam63jN1Xi2RCiK4FQ8jFsOMOZwkxNs2A4WOefxjXSXtnOf92Ie84qYkvtpOXgv5PoZLVRx2/0JhgOG3/3EmIe6/TvZ2S4g6QLf3NPEdd9+mo//Ic1wQMIxHacoiJjLBfKCBVXUGVYUGrQD3P3CdkYixg5l49AE1337aUx5Qyxm3YbATQz4UEWJQd1K/Knvc3fgAgBSFgdCTiUV1KmfsvFgciv3bnsWa8GOIIkgicRl47epHx8mLThxkKDoENAVkVAmwviI0YcfP/U83/nOB1GBH7kkHh5/DvHNqNIZGRmhvr7+0Ou6ujpGRkZe9hhZlnG73USjUf6cO+64g0WLFrFo0SIikchRn58IezY/xkemAhSf+inZfdt4LjfG1tH7eGr8h2xM9ZPVZQTLJxE7q7hwS5knEsM8+uwHcFjOIV6MkCn2UBQ1rhA38cHMtzmgz0cQRCbdEpaEj+BMcNI52cfJxZvxF1cSGn+UHzcvZlKooiE3gl018VR1E5+w/5znzH5+4vw6RfHwFj0WdbNSeIysIvLCgssQdVg5MEQ5+iKF/DgJxYVTTVMu5bHrPkZdLpzTP6Bvn2H8eVLqoL1UQiqNMSmEsJgS5Jx2BGkv9aoOFCnpTUzainy/WeKPYor9dhON9JEdEkg5vERCvZjzkzywyti1PDJ7Cnd0BHvOWK35rSrXTv6WaZuELohYymnGLR4AdCAlONEdMp5sgSh+FFcMpXY+F7v6SOvtpPpuIeWtIWqzMr9/iF/+7fu59NnP4JiIMeysIdZQh0tP0DC6l4v13Si5FC+KAyyZCYE3pYbpyoygh00MSkGetnfTkDHGVdTuIGOeZP7OPyGreRZveYBgIY5dldCnVcxyiUzRTaKmkWpLFNLLMecjZEWos7SwSzCyeM4K/wREeDJxLmg6e5IBaDZztZLg7lUfQixpyIUi9597PfzZw7fTW0varjNrepiRohtFL1KUBNLlS7lWeA5rqoms/jwPrVnNjy9aSlkSmS3voFhwEReN9LpJm0C1PoI+bcQN5GUX0f3tCHnYY136smN8r7/3kC/+WDDAqGA8WyHGyZXc6LULaG+9GWp6OJDaysOxvWxKi/QXn2SjaQASnVQziu5Q2K63EJ7ewza3xk+bzVw6XOCjqflcVepBmTZsNgWtjLkQZ8otUJL8lELzWGU6wD35FUx7XIfSKxQsJhxSmikCVOVVUmoBs2R4ceXNkLK0k5DLxPQcPnMVufQUVquRfrko72O7fQ7m/CArxwbR3AEu2P0grexjR+88xuxemgb/QNTrYLDQblxPsVOQBRJbPWhlkZ8u17m8nOSc3FcR9CKCIBJ12fEn8+TLJUxqkRxWw2gKuE270OQCumrYcDRJw5lKYTL5yWopMi4zkl5mMhamOhvF5jHjsvTxvLsTgHFrEHspS9Ql4kpbGA6UmHQM0jTpQ5dlTFKeKAFkrUh4wJAbolKmaBdAAne6zEjMAQUVzVTk0sxjfM3pxVSALtu7Xvb3PxleudL068ytt97KrbcaRb8XLVr0ms4Rru7hMnUz1ppL2WcLo9kGaQma6R/ZxmTs5zxeuphzgp1YOz6BNvJlFu+ZQA3ei9X9WXZPP4pfWMbiBWE6ln2I+NYhmj+6EoD/78UA9kSSulISVRFp2++nGG8kENnMZHUf22uvBqAqNYmt4GRu9wFUUaPxr/6Xn1X1HtHG27/SSa/2K1xk2N7QTtztYvWLGe7vvh9TzMJUvRNHMUNBy5MsO5lTupf5/6tiXf057jN/jkTGQ6Mq8EBhP6pDIVPjRxiTuCieQLXMYVvVAL+xNXJJ6gV+1O6nqcZEUZSpLY6gjmXoCRTI2lshN8a+0DN054tEZJGC+CLWbBjcULRamC2OELUYBkmLqDIqV/Hoe5cTyeWY+8weFIsJT6pASnCjOwr85N1LkU0rmRwb5gNff5iNL8UkDE5TNusEHIMszfyJstNGozBKvTrA2uu/gvW75/O0to+S5MRqMTGrNEJRMLGgYTH14gQjox6uceepyhjDNe4wYc0rKPmn0CQdX7yfuTsPsqPBw4GoQrUpxvypNt7uv4NNxS40pZ1C8kmWDOUw+62MCyouKYHUM84vJ69kT7geKV+muDzMO9X/5eKVN3NTdxtbY4Z++1/+341HjbNtj15G9uEf0TJZ4EC3GTMFiqLM89PNrA7ZuCkV5duuNAf9MfJNxlhuYy/ZRD0/ed8FqLpO2yNPs6j0POs3XMgNS42UFWrp1+QmDnD+JV1HXfMlUv0mnjr4E9B1Ij4/wyljhR1mgr5MF3stYwzZYpi3P4NgasfsmM3uuu04SiIJfRgpV0OoPA6KwE6hnub0ATYp52MplJj1yI/ZKgVo9czDP2CsZPOqbAh8F3xnwyrqa5qA87n//t/wbzsakFNGicms2YTPWmKaALPyAjE9h02xEVUsOIQS40oPzszdTEqTNJur2amn8ZkNzy9J2sd222V4o0kC6gS6KchISuTTmS/zaftnGQjW0BXtJx6w0zPvMv5x9XK+9O129tZuYu5AhtGgl/01Kd4xGOJa9Y9sKGykcNEXeHBXGJEk1VqMg2UTBcFCXizjLlsRrEOIynyuXjCL/y6C3SHz4RoNwVnDAXmYtNWKOxflgL2G97gT3OjezO9tq9EFgdZknAFLDfXCQcYUKx0lY2c2GCzSOexHt0qYtBRRWnFlEzgShoND0axQkE3oko4tY+FAKYDl0XHyljQmucS9Lhtf/JGNUPHXaO+/GVE+sibyyXLSK/za2lqGhg7XFB0eHqa2tvZljymXyyQSCfx+P6eDofgEnclqBIo80PYdet/mJt3VTKqlG9w+kun7eCKynZxowrb646w56Oec6UXousbuUg5ZkJh3bTve7gaa37ny0HktdW1I0f1cMf4nPpb4GrUTKxhWB+na9UP0pUbQi6IX8SaymEo55tsOcGDV+wn9mbAHqO1cxfRYHUuFx9kWtrC7tYdZoyqBQoS6QoSiYMZeLJAXSpyrfJulj6sEk3Drb1TqcgMI8SIu0UUhZ1S8mggYq6Q9hVpUMcu6Wy7lv25dTWfdWnq1zeyxzUTKplOIxSI1+0V0UeKpmnEmTSrBnJlLR+t5tmkcOSkg6ioRp0i7VyRqMlY/DhmSgptdB3eyZ9TQp9osMu6EIWwyDhvJAWNQB6tqWVue4vEAeIoJlp3zTSJfK7FuToob2n7GXzm+zxrxAZZOQbh2AcOuEHj3Iak6e5Vx3pIc4dmEH7P/XJb4nkM3i/z0xQmqw0ux6RmyDhPVcS99vhQ/Ok+iYNG58P5HyZYEhJJGQy7FLOVe/MoQm6YvBkEEsUib5KOkl0nLMdprn+B+7WLuDb8TFyIWa4lWRx/rd9YQ6jaEUO+3/oneb/3TMcdZY887CXgK1E6DzbQbEwVKksSLuR3Eihv4QPEF5LKTIesesrZaPGoca66EpWTo+1+Mx8gJNtoTcQK9LYfOKykWHHUvL+wBbLVdyKqKW02S8vjpq5uFXc1g1fIIY32glSlOT6CKdopVDQxVbcJdTFBubEaUbaSFHPqkjlOLs9/UwrykYQ9ZvqUfq3IF2yxR/jDxHR4e/THPTd1PWnMil+MUTAKhmcRuABdddBmzNAmtXMKqZ8mYrCAWiBKgKisxJqdQLE6ktEo5paPIXiRdZ8y2E4tkI2+34zWFyep5PNoUg+YgtwY7sIoSulamrAR5tu88/o5/YaTWqEJTDApU1Ro7j67aBew2Nkc8NL9IbdzGpzOf5p+5AWu5SOvdH8YeMJ5NT/QAphkPmYQ5y/JUkKQ1RqRopcpfjaBrpAVIbXkB0VnNqJggYXJiGs2gCyJXrV+Ac+CX/G/gEqoyGkvKOqPmIHVihCnsiLqKrzCTcTXjQJN17KoRdOVMJXCmDftA1mQlr5iMKNysg7uv8SK3K7xdfIgve/1c+ZRA43iKB9u7T7mwh1Mg8BcvXsy+ffvo6+ujWCxy1113cfnllx9xzOWXX86ddxq50n/5y19y/vnnH8pZfapZ3uhnSf+XeKL9G1hbdbY9uo+hoSEuv+oq/vrfv42luoF4+iGeijxHwWTBturjuKtWMZ7rxyw00FRrx+I5uoJSfc8yxMhOCvvX0rd1PUrJSXX/f1KyWGnw7MWmZ2hhP8WMg3bLXp7ztDJ/7b8cs41dHbOYfNHPCuExipLAc72XAXDBZpmqvDGwXfkydtnJvv4xfGn48a1X8POLL2Llvv2IWZW8uQ5RSxEojdHvCiCWRDI2O9ucuzA5PAA0rV1IV2KYxvIQsl7CPJGlLDlRZR+amqe25qfIuo407EPa38p4vQQxO16mGXOU8cpNRGcSPNW4DOPTE/u2cHDMCHzy2W24ZgZyyuwkPmgI/GimSLUusN1nYS5bkTM6B7bLfHfXBh4ZWcOn+RKuPV9g/jt/B0Bh7jWcL8fwTo5yQJyg19nJhdFNbBtQ6NW2olbb2CoGENxzCTJB2mpl1lQ9+2oE/tQt8NsFEq7RDMN5o41tOTNL3fcT1VtBbcGZ3E/SLeA1VTGgx1F803y36a/4sXILczMCl4XKZAQb1449Q8vK1Sc0zjy+VqSAYezryLyAeaacYaZc4I+TMhmcXJbIk1bGGHcEaBd2M5BpwS0ank6/7DPKQs6dFBDNR1dNeiUkxYKUUvBrURIuD4O1NQTUKbSshfc0PEGPehDV4SbT1k7GFqUYruGSv3o3t7/rBmxOD1ExSXHaR7UwylZfM6u0nfzPP/w1Szf9GkEQUeyz6LxuP8+0+XnaPImqNIKQxKbaMJuPfDa6fH5UXcelpUnLFpJWOwXBQlVep982jcXqYtbecRr2xbnwxW00FGX2O4y+e6xhPKYQw1KEKlXF3B8lcfe30e0e4sIoV557FXeOrqEhnWZ5u2HvqKkZpilg/M7zutfyx16RpxdW8fv5ea7xruDLK3S+n7+YfzP9Pbu8NZzDVjJmsE6MoMwEyOXMGp2pBsbMBWIlO96qWizkyAoixf07Ec1OinqSadFHcQza81OEyhPkTRm2eNpYo1hp9PjRBRGPLUdMtVOUTVhLxi7NkleQbGncTBMliCtZxDlTCjFlclBEoSzp2IpO/G6d7vAAQeVFJqMK1z5ZZmdjL8rK2a9qTJwoJy3wZVnmm9/8JuvXr6ezs5O3vvWtdHV18ZnPfIZ7770XgJtvvploNEpbWxtf/epXj+m6eaqwdvTy4pfezsaGEv49fpxOJ+9973tZsGABZouV9/7bN7D4ZzOdepKnpx9ANTuQLR760zsRlWZ6Lm465nnnzF1OrDjEsnI7FxUXsMP+DN19SQr1C8j0WbmN/8eN2vfI5x04TCPMevc9xzwPQG9LM/G4hcB0koAWYVd9mMlADee9qOOd0ce6Mjo+yc68LRoH2uvZNWsWv7j0EnpWG7rdncI8PKpKMDfIfqkVhyyj2ZxsGdpxyLov+610DiqUdBN1DCLuyVAoKcT8c8h5J9nkyLMw7aW73M7uwE7aJ66mFIMAEcatoOudxCQPFjXP0jkLAdidSzKaMpLNVVvdOJOGwI+Z3EwNGO/vn0wT89aQlyUWKBux/0nkd3kTTw+tZdjcRLAUp335YR31rOUfZ2G+QIIX0ASdYWueWz0rePr3z9BVimKtKqEJIg88n5txzXRQWwywt05AlRz8fpFA1uFhOmHBYi2yQfwf3HKMR+NzUKVqyvrzmOLbCFpC7PEd4K7ui3mOpZw/sYvfXDKX3ybzzNM2s2JXLzXn9JzwWIt2Nhvtjw1j0ouURAVZMDGcHqKvtJoPZ/oAN1NWK+3CHp4VFuN2GLV+fxdXmaXtpEOddcLX+7+YclZCRIjbHERcdkKMI8Vlnmn7W6oD/VTpkzhNcah18OX33szSRiOaNlDloySoRFKdVDNGpCoMUoARX5QVB7ahaSnsmp2c1cLdq65l+IqLEEQrBSmBR3Ue1Y55LXMQBBFXOUdGslOyGJOXP1sgaplCHrdgKqsUHOBNZ/CXFJ5zDKLpGgFzLS5TgL22IbwaOItmCuF6cmKMqH8LFy5ZwaJGL3cfvArf3DGmPlxCrxIIOQ2/9pqGLsqyyNcviCDoAles+2uuuPxqPt4+yS+m23nQchvRqk4GQ+BNjGKeEfhlk4A330hRhJhawOKyYyNLVpSQ04Y9ouSIEVO9ZLNm1oQkCk9+n3sDa9EFges7wsyqMmIHzDaNVMFOye1DGemkJDWhlAQEewa3kCSOB0/egaK7sKspkrKTom6mJGgUFTt7Hvg5143+gf+yePjwPToFZ5gNP/02H7v15tc0Lo7HKTEDX3LJJezdu5cDBw7w93//9wB87nOfO7TSt1gs/OIXv2D//v1s3LiRlpaWVzrdSTE5Pcl/bvkvArkAG3o2cMsttxAMBg99LssK7/367ZhsC5iK7+Sx5K/Zn36e0VIev81CzaLwMc9bW93IsCePNZcjoDuZjjyCCESbZpE+GGAOO6jOTWHWLBwMNONy1R/zPACiKGJfsILxvfUsFx5nT1hhW9dlBFJFLLLRVlcKnJk8qiiw7P99i5jswKMmuODdV4Cus7fcQEexhF7YS1pwQTCHLklYMwnufvxxADb2TVMsTjEpB2nQB3iisJhF0RJl2Ua98z4mZZn64ToWXnIVs/VGOg+aSZbS+PQoEyYTVrOPKAHcxSSLFizDoacYVMxMloxVaqOnCmtqptSh4mZi8AAA+ybTbA8ZvvFdbEfYpTIYqEKURPb4ZtMRi+OZe/j+2OwB+qpmYwpN4Y9k2Sr3M6EUeKu0gmKsinnO7eCU+PGASLA4TUzxIMl2MhYBITYHb8rGE6vPQ4+V+YDpHha6tnHQdDEZuQtRK2F2bMYmONnud/Gvi8+lKJp5/5Z/4WurF/KHsYPEBRfLIgMEFrS+Ks8Ic++FlF0qbeMqil6iKCrIognBG+Cz6dXkND8LNWP3NkvbyQFzG2ZvM5vjUUYFPwsT+6ia03HC1/u/mHQfYWGUlMVKwmalRhzGLYQ4712f4jtN7+CPPfP5waJLabUcWf6xq90objOa7Sasj5F3e9mlNbG7S8eZ1zAXDkC6iq2Fc9EFkUsx1ApJcwq/7jqqHV3dc9AlcJXzpEUHKbOxI3SmEqCkWFU4iECBaukHLJOepLYQYNgE0+UsjY45SILEDudeNNFPTrXy+0IHjzY8QoOaQRAEPnpBBz8bX4497aA4Wydebj6kHRBFkba8G10UWJjwEqo25MqH/uomrgkM8e99tZRnfZaYT8YzrWKbKSuoKgKCanjPqOoYgq7h0lIUCiIOyVA1pwI6wkwEd0eVnUDiAX4ZuIyqjEa3X4LdMwn87DLZvBXBZ6emP0da+1sUUaVkB92soAsiTalJJMGJpxgjLrkplyUKokre5CC59wWciec49wEZZ06g5t++gsV39H0+VZxxkbZ5IY9f9/OhBR/ikksuQVGO3i7LJpkrb30fsnUV0dgAz0ceArmVzsXHFvYAkiQR9VlRp3ajKUPM2THGWNDBbncBZ3EJhYSJfMaHU7PQtObW47Zz/br1ZPfpzM9tRRNENrfPpyyZmfYZA9Ed02gYGGHXqi4Cc9qJiy485Qxuv5uGYowDmSrmFIpMlIzt8YHamdWLzcnmX/6Q8YGDfOvu37F7RCQjOfDlonRb7ZRtreio7HFvxapJuCc05qw+jwVL11EQd6ILHbhLKaZkO5rF8DJw51OYrGZqymOMmDzE0JH1Ek217WjlAnYtQ0x2o8aN+IvRP/SxKWSlWe1DidrZY5fJFFtwOdOMiPXMm7IgyEcOPfuim1lqT9G1+QHkkpVHzbuZlLI4xy6kV9hKscXNiMWDK5ulLCgkHA7QoaEI1zguZFdNO+v1jXyoMFMQRniSbHIOnuntRLUAHmsNP2mUsJLlnxOfJjvQT7i2g+8d3IlDT3Le3lqaLnt5z5hj0dTzdlzeIq2juuGlIygsu+FqrvzgR9liqeUu51uIOc4joEUIpqYJE8canM339mxC1kucd9BO1fLXtnW3KFWE5RF0QUAXBKqlEaxmw3YWLqg85lvMpMlHT7D1iO/Nm92JRVeQBAlfKgKiwIFyHdbqHFMuqJnYDpqJgYkLsJVSNIwZ3nRRWwKv6D6qHZ5gAFXScBYLJHGRnsmsakkn0aU8e/Id9DnG+I7PyQOuKEuzRnrqUSmOVTZ2DP2WPqYLIR4u+glXf52sJNAuGnaplW1+FjV6+fGB61GyAiOm9Udcf7bVmMAubbrk0HuCKPIv73s7TdIUf3v/GBlPNaaSgGcmP42qiBQkiVC5jKANUUzsJVyewj46jeiqJqOnyLkkhIwh8FsLO4mZrWz3NLA4leFPn/4AgdTPsaglslYrhZyMyadSm5rE0hdHlzSKukTaYqieOvqew1IWcOdiTAt+lGKZgpCjbHOixIbZvddKb59O8qrrqTp34WlJqfASZ5zAb/A28Lt3/Y5rllzzisfVL6+hvfk8ZNv5CHIQs6mVriteeedRCAQobf4fnrI9R/MEjM/tISXm0D3N7P9tAwf3LUMUzNR2dh+3nT0tzWTcPuR+J7X6EHvbYG/7RcQ8Tsx6HlNSIKINc8eV11JWC8QEL96iYfCbZymRS0pckxP5p+gAdi3FqCOMWLYgWv14Jyf44lc/wrxnf85wnaEyEHIqXf0bmQzOI2DdyQMOhXnTrXSvPAeT1UbHslVki1MEE1U48jlUQWbSnieKH2fGMMzWFGKMStXEJRkXSfz1jeQFFU85xbTkwaz28+wdL+CJ6ex3m+mVNqHvqmJHA2jpGkL2KDYyLAnOPep+dPS+i1ZV48HFRXo3DyKqCveZd5Oe9tHNdvSgCZtQoJA14jemHDZCKStNITNyYi4IEb6hfItE1sbzrVdSSsxGlZwkpecopSW8gUaeCkosFZ4idL8K1dVECzmeU2tYnNtKVagRUXl1TmsuVz3lgBl/Gkx6gaJgoqSW+MnGPVg8zzOrtJpNPhMrhMdIxkI05UdxhXp4KGtjrrqdZrUTyWE+/oWOgdXRRIDDrsshxrG5DBVTvWac06dP0zy384jvmWwOfLiQpRTuaUMAHhBr6SwXeXieSNPgZgSxiB710SVEyAwasQ/jrhgB07EdLQomAWe+QAon07IXSVcRMxlUWSOXdzPsmCDteQeNuYuozxsqs2GrsRssaWU0cQyFCapa/h8TzgyfmZzm3PV/B3Bolf/bybnc+MQ3UIJHTspXrLiZdfF6Llr/gSPetzlcfOXyVkZVD3tchqG5kDPEnS7KpMUiC3MCBXGC+ORWwrkUDX1bEZ3VRMRBsnYzQqaMoOvURu7nV75LjVrQT9+Df5FOsuEpQuUYUYsXIaeCV6UqP0U5K6AqGtZdVhKKMUHW9R3Ekc/jzCSYxoevHAVbgaLTjjIocdETAo/1dBDZ0AvAI3d+h/u+9dVKLp0T5UQNwqvf043F0ovZeQPtLSEU+9Flzv4vltoW0Mr47n8ETYAVH/obBCSKSp5yxkZaNaEpyqFUrcejatk5JHbZWaI+w0G3m71N55Gw23DrCZSSzmMr29ltmsVnn/sZJcGEr2isOHobPOhlOGBqZUM+SqfaT5/UjkPMULQ7yJplGsZ19oWtJGs9APQc3E/tYIqi2Ydif5qUJNAwYmbeOmNlFGhowlPbgC8zhG0mTfIBt+Fy6Zzxza/L58kLVgbMIVxaEtmqUFZkvKUMMcGHzTTOps0RYtWj6ILAXLZh3m5md52AlqnF74jRnhuk+bz5R90LUZQZaV6JoyULuSfwR1qR0Pm1PIYrK7KkeIBcq5eprLGCjLlFFo0G6Gcf+v5H+Hz6m0QED5MPOdB2z+N5rkEppuh3FdCBg00uiqLM7MReMnvTdDcv4I6dj1IWFM4bLNL8luUn9Jv9OfE2QzduVg2Bn4gl+ElfhveKItucNlRRYDlP8GKmm8bsKFs1OwnBxaLIGHUXHz3xnSh2/yxCM774YLhk2oOGcJ/tMHLIhMpRHNWBo77rVKyoQo5i1FiB9lVVkcy18sd5AoJewqQP0jJW5qqaEIWYiqCVGPOmCNpCx2xL2qbgzBTQBYlBmvCXsqTVEppsoSiWGQjMRbCt54rYGiLFKJ6yxoDTyMU/IqWoUsv8wZfDXdT5nGM1l394Jy2zrzx0/pdW+cAhg+1LdPas4asf+T1W29FqkIVLV/GexnEetCylLIIlbixcVFEkIWRYkgmQk3Ls7d9KTbbM7IFdCK5qRkiTstgQMyXmlQ8S0rbzK/86goki19RZSTUYpTN9TDBkqaamPMWUy0awEMNdTKOLfqz5vkNJ06qnJnBlEjhSSTKCE586SckJZauZxglIOAW+dOMnOBifYKLvAFv/8DtMVuubN5fOXyrOGgfzF4YQgJ7Lj29XqJ1JKlU/UWB/vZWmOZ2I/iqGpEmswQUASLYTv6VXrLsQLT5Fy6iRz2d3ByRNVpxaElMxz5ryOTSX+vh+1niQ/TO+vot6jcCTp5W5OLNlzp18inGhBptvEE3SEC01PDLbxcCsNAmXnbA+xupfvMhT8y8HNP4UPoC77KDFVkOw0VgVCoJAx7JVJEo7sSaMlcVWr7GadsxUk2pjpmCDVI1TNdzddKsZTyFHFD82xxRN7gMcqLZg1bLUpCJYh5P0hxS0QgjZrTF7OoMlfLTxD6Bu5d9wVTbND9aptPQ9gTfWjVlQiaYdrONuco1usnEzgq6RcspURQMcNE2wofr3iLrGx/3v44WADe2he4jHmvFNbcSSk0iFQzzUmsepJwk8pPNiIyzqvoh7psvUawMsmG7E4n9telPTeReBoGMuFSgKZvYMJFnsfpHZyXb+t7pMtTaCkijyU9dlBHKT/HiwD5ue4ZwDoSPsGK8We81cfEQRdA2TVsRNHEe9MZHOaZuDQ09SnYsf0ybhm1nYbErMx69HKIUEvp+9gZQDxls0wv0v4E9rrLV4KebMmAsJIh4Ie6qP2Zaow44tZSwK+mghVCwQ17MIsodR2xgZ98VcOVzCopkYHttCc1Zll+MgWV1nu+sFqsplfPkG7nrnU1z0lv/CbD5SdSQIAh+/cBYmSWRenedV3afbbno7DZgY8QsEJ4wJsixCSshTlTXsJy9EDxAoqrRNlpHMHqKmKFHRj5IucLX8COOKj53+ei6JxRme+1syGQ8TEy1UyUMMWKupFycZM7mwqlnqMjFkPYTsSjJFAEcxhblUwhw2H/LFl5UyBbsEZoWyCCNXXEzG7mC0VODh7/0nFqeTlW+94VX180Q5qwU+wKJ3z+Gmzy0j2Hn8uIDOnuUkZ+okROcZutela1ZQFjRUz0x4e733hK9d6/eRaZ6FdX+IFn0fO1oEEpIDZzlDwiLS+pZF3PRCDG3GcFY9U6Sha1EnlnKB7wgb+GzoI3RHjEpV5VojA6FXCKKrC2lMtzFhCdBU6Ge8fj6irY2Aso/HnQXmRRqYv37DEe3pWLaSlFzCFjUE/E670Refw7juotBhA6NTNdRLgsuON2/sBBz2GKuVz/B0oIZuYTuZkdmMuSOU9TZAJOtwsSR1pBHx/1LTuArVHkALlYhansWaVSgnWoilqphteZbmfJlpRzNepklbLVj1IEURtrrK3FL8OIK3xG+WlJkIrEYXFCYsm3CoBZYueYHNUg9NU2PUH5xgT61MzOehX6xn6VQfzZcuOOHf7M9pXXIjZncZe6FAEROxHCxPNfCQY5gxT4CVwp/4U2YlatiKXUvyjFpFb2E7Le3dJ+WabK+Zg6RqeNQkgfI0YgEsAWPyDrY38tGNu7h2x7F3mvUhE4IOZVwEyxNkvD6safAUrDzXpVE7ZmSf7Nu6i2LJibkYJ2GHkPvYNq5xhxdL0hgPacFFOF9mWs7gFMxICgiih7cPFImWB0nkRmnIWBg0q7xPiPOj0D2EVZUPvftX2J0v/+wsb/Wz43PrmVV17MXCy2Gx2fnaNT30B6w0HJzJkCoK6IKOWpyNpMMuNU5seg+1ZWNCE9zjTOohyJa52PQcP/Vfjy4ILLDdi6qk2LJ/Hul4kLA4Sk6yEjInmNRdFCWBa8USWmEfklcnSpBAMk7eZqP+kjXYY4adrWSWyVoVdFnk2Wvmccl7/hGTXmACGNu7m3Pf+W4sDsfLdemkOOsFviiK2EO24x8INNS2MBwwSqc1X/JWAC6Y04mCjSnJcElcuPjE3foAOlevQR+P0Z3YzbA5zKQYxFXMkW6spWrBbJYXvayMbUPQNVosxgMnKzKz1QSm6RK/qL+AP+TmI+sltrhno5REUi4XP9W/jL8QYEoOUp1KsCf8HtzlFLH631AWdJqm7HQsXXlEW4KNzXiqqillCtj0NHtFw+DX7DHuT8/8Jfh0o/CKa6aohC0UwJOZqZTlcDNkCzFltTKXrZT2d7GzLkshPxezrURWcrJy7jxeiarrfsaGVJbvrMtQM/Y4dfla9kbbjV1Y/HH6WhoJ6hESFieSyYanrHFblZ+dDY9Sp+9kPLSSofrzqR35E1FrmbolE7xY00JesNI4OoWYmcDs9fHdfVuR9DIX7HcQmNf6im16JWz2IGrAjCNnpMGV9DSTQoLxGdvJfDbxaM0GMEvYJcgLVpaNpGm8bOFrviaAKJuQkzLL8ztYXngROWU+tJqXTDIX1rWzYv2KY37XFbDh0x3UCmk8uUkiSpiF8iiT+dn8vkPBIk1jKUYZ2ZWnoLuR1QS6IBD0HFvg52UXSqJ06LU/U6RgKeBVk3xw9U2sGy9TldfZMbWR2kQJV3EOBVEgY9tKWs7hL0mYfUernv4c5TVWhprbu5Rpl5OaSA6znqc4E9CUxc+sQok+YoxMGQFXOjpmd5ypYoC5eh9BKcV9wXU05NIEgvcxMNjNeeffQD7vIcRMmUZbmamSm4Snk4zahFbahxpUmSJAeHIKc+cy3C868SeMCT5ntpE1mUGC5Rfcij3oxqdPM63YqJk1hzmr17ymfp4IZ73AfzXIsswTS/18/0KJxYuNGpqiKOKoNoxCZl2htrHtlU5xFFecey7J3BSNB8sIuoYmSLgKJQLdxg6i/eY1fOI5Lx977gVm1zUf+l6PR6KcLRO1Orlr+Xo8eozd8mzyQN6a5/uZd5L0zRjvYk7K4Weo7foWvwtMEy74WNyzEtl0pM3iJbVOREzg06fJz9TcnNtg9M/kslJTMrbF7pnqQP6aajwpQ+AftNbwnxYjDcHs/F7MgxZ214kUY50EnDEcaZ2qpa/shhismsfszutJOiHhewJJLWAbmAuqwArpQSyihkNNEVM8iCaFS//Ugxq9CNEc4/HCXi7YdwmW3Bim+D3U1hUIzIuxOX4xllKJYHaAT7y7yBz/bP6kNtCd301P15xX9Xsdi3R9DfaZjJk20U6VVWGPp44WbT8T5Rpj96OlGFPC+PQoq2INyPbXZqz9vyh5BzdnfsDbCj/GVDxSJdXxzvOpWnRsDyCT30tIc+OVMpiyaTKCE6/0AkIxTEyRsLWmCE5sJTESJC/5ACOhXtBXdczzuQQBJZ079NqTzJKzFQnFp5ld28ON/XnipWmmk3tIN7wPR9p4RhxOw8PMVTp9bogvEa6pR0DAQp6CbOx88oLAgkKOEb2MM1VAdNYwTRqTM0Uy62SttJlhcS4vej0sUB4glfIzbV7EufPW4G2Zh69kLPIkm4Ca8JOsvhYh+zygITvzRAlSPTmJI9SBpntpLRur9ozJRlayoos66YkEgiDgLSeIKS7Wvvt9p0V3/xIVgf8qCfasITNvAQ7H4a3lJRvORdAFzIL1VWe4s5nNFLsWUDNmob20DwBXrsz8LuNhtYU8BLq8vHW6AX/HYZ3vgvYwOiLv3fQo68VBxGiBfpqJtpfRxRIJp5e01xDYcfUZftD8c15IX8iAmGXuZA29F15ydGOAjmWrkPIFPGXDg8OpJelsPhwcVJ2PA+AtG6uVqpoq3AlD4P/WtoodNYsJ62OYR83YsuMMVNcgZGyEHBHaojKi6fieMCsv+RJLEhrfP2ea8OSzhLUAk31N1IX20TuxC1EokxA9FC1W4p6lZCfPQ1c/zk2D78JatNG14wc8cb5MwznjJCdsPOuYS2N0lCnzMAgC8dpaUoKbVYMpGjcseTU/1zERl52LNW8YBKtkK+Zz3s6QQ2aZ8AS7c4bHVm1pnK3WOSxI7aLzktdmIP5zTLqXojVOyZ7CLASP/4UZrOEwIc2NhMpU0hBC+iyRuW5DgD01txr/9AvouoImKhSkFKIu4vMcexUeMmlIuQyCbth+bLE0JUVlzovDHHj7e+lIwf7ERszmJeQUL4vmrETWdXAYEdsO7fir+5OlZZGxm7XoOXKKGZMqkxML9OZ1yujUp1VETzUHiZF3iAiZMhcIW/ml/x/RBIElwhNs6+vmb67/NACdXQsxp3QEXSNrdXJeXxCdMlp+C7JbQLIYu7nqqQiy2TCi15q8ONUEScVBQbWiSjqZSJ6Jg/vxFtNMS15CTacvRgkqAv9V8+m3fo7vvOuHR7zXXtdIyF+Lr/Hl/fhfiZXrLoTpUZrHjNWzKybSXnP4XK03nEv9587B4j08ySxeZuRb8Ztq8P4hSmLYjCoo2N2GMVWTSkw77Tj1BFf7zsddcvD98C/RBZ0eqQlP1bENcKGmFvyyHWdhJgdJOYHXeVjvXpc3VDn+mSo+DfX1OKLGsTmzk4MBG3PZSvxgDTlpjLJorKD9zhirpWNf81hc2nQTk2YZe809iLpK4Yk1UBa5VH8SbWZrP+UyYc/EjXuYyyJMdtB68F6e7lVZsSBFsSTyWWkuOUWiJTLKLkcfzXETT4u1uLQ4F5arkF6lK+axaL/qfYcE/q90L1tGDVfGleNPMywbfuIN+TH6rXWsHNDwdjWc9DUBrEoNmlNDt4DVUnfi3wvWE9INm1N52lhdZ5udtFfn0HWBX7vmUWvdiTRjp0mZ07hVJ5J07NwuTW476DpO3bgH5mSSnCQRt9ViqV9KSc0zmhyg4DqXtro8i2+6kKaixqTJOL/L0via78GJMn/NFUSdYNFyFGQL1qJAXMwyN2tMNgVdBlctUWmUlMVBbXKMNkHgvgaJGn2YQp+L973ri4cWdJapPeSTPnxE2UE7lti9lDLfpShrSM06RZMxkQZTaTSMnVHQ5sdTjpGQ3ZRKFspykVy0wEP//R948nnigpdULn5a70NF4J8i3v/hW3jXX73jNX33ggULGFTjrDggcO6e52keyh31cInmI1/XttQRLCS5Y0Tibi3EtVkjQCZjcoCuo+s649YgDYUJ1lz7Tq4Y6gF0mrLVrL7gipdtiyAILOxaij1veF24Sqkjdi3n5ANcnPs9i62G0GqoqUfJZ7HraQ7YWilIMnPKO8mO1THqGWPEfA4ADnuW1eeeuN56/UV/jScHv+1KEko8S9ayhOiBdTTVPoyUn4nu9eoohQweQWTungDW5EF8yWdJrK3H6izTv28ZzeKtmMtlGhITPPaeJ/nK2/6T7WIPi2IH6b7uvBNuzythcwWw6oYOuzus8ATTzNJ30pbrwKoav1t7coSiAucdIwbhtWJ1Nh1ug/vE7RCyxYrNVEIUFGqyOURdZUKoZq9pIZoaYq+URGtvxTdtFCuJWtP4tJdXu8xpaAER3GVjp6ckk8RlB3HT+zGFF9GX3oHqupSANMl5f7MGQRBoLhgTrUXTcIVP3T15OTy+akb8ClY1R16yYEvnSQhZlOIsnJrIvgYZ2eRBdQ4wRYgLUk/zhGkZL9i9dBdepGXerYRnbBh9ExP84f+7i+J0gBATxN0KaeKYPSU8eSvTbSWSsmGADsykFJeVMexKCHc+Tlz0UMqLaNYksaEI4/v3EigZu6MXB188rfehIvDfBIiiSL5zAdVpnc6xIQS1cPwvAV1yjrRi5VJhgi9/+jqqCjEOWBuQakH1FxmRqmnOZZBkhWuvex9X75jLmv5GWhYsfsXzzl95AZYZQ6xrZqX/EqtXX8K1T9XTu8RIMqYoCsVyCa8WI6IEkfQy9ZMpRN3LrlABebcJlzmJXZdxNJ741t1ktrFOm8Njdivza36KgEZpRwsFHRaXNwMQd+k4hTIbciYktUz3ru/xdE8LS23PkBp1cM27vskLThcN0TE8XhFRFPnurqdQBZm1gzL24Il7VB0PBUPFJUf2M+yvYoX2BB2Xfw7fzG9Zm5+gLpOi/cpjG1JfCzb/YVWbPfzqbBG6I4NbdFIlZrCXpxijlufFxShCDWXLCE81X0448TyCVmbEHcUnHB1l+xILZvWgyiLepBlbWaOcLzAtB+jwDiAJEv2lIn5ZoH2DA5PF8PhqKBgr4Kqyimv2K4/HU0XS68RWzpAVbZjSMQpCiRFtHm1FkX2NRrsk9yTjmo8J56Psd7ajCRL2mMD6JYdVoA8+/Fso6yTSTYSYIOYK8Fz9EkxLREQsJOUyUQwVW4M9AKjscCYRBAu+fIZp/PizEcrWBLJsoa6zm7qZqONdo32n9R5UBP6bhEsu20AhMcQ7CqspnKA3ws0XdPIuW5SvffadiKLIrHyRfczixvYAy9pnUxYUOmcKotd39XDpeW/h8mtvRnyZrflLhJpbIWkYZU1p9YjPHC1+Lv7H67GED7uNFbUyHs1YdbexF3EkjKUMu9ztdASG+eSib+CNB1+1G+K1K29FFQX+txauc3yQ/U0/5PGUzDL7cyh6gZTNgs0kUZ2DmgPf5/GOADbvBCZnmYj3fJ4cTJMxibRERpm7cD75QoSHtRYaCkNcfM6pFTKyxRCIjzW1I+oq500MYg0206wV8BdjNOZGWTNuR7aevLH2JRw1h1fGjoZX6VrqLFOjOvAIeSgm2cICUrKburIPUUlwVxRctRlWPv33DPkT+JWXd1sOVQUpKCJVyQzNySK6KKDIUFUMEin1kyxuJKs8QO/6iw59p1o1Vsvhsoqv+7W7xb4axHA1gWyUmOxHK83sEgnTky8QUdJMSjEKzim2TTzFFrtGwW48hy3mIwPO0hsfJWvzYEnW4i3GSclOQqYRRuQgOatKUS8zRQBJK1OjeFGFMb4ybUwooRxkBTsBdYKMo4SsKKx99/tocRhqn8FM8vTeg9N69gonzOquDp7XY2ye+D27gydmgFu9fjmf/cyNKGbD22apu46s4OC58b1sSRv2gBXthx+mhRuupG3xsuOeVxAEnGoSXzqBK3n0ABTNR+q9C3oZT8kIKunSXqA46MRUztErOVje9iJV9ggr3K/OXRVgzry1tMctPGKyMOUU2WiVGRqxo6gYrplmByaLHT3xEw76cqR8ARp6S8Twsl3p4tdDURRVpXk6ysr5q/jV1i8zLDSwdCRGzaLO4zfgVeCqMryPdle308122sLGDqhGNnHni5/GoyZYe8GpdbezVc+GMohZAbP72B40L4fokagvGjscKV2kKFgQNY2ujGGv2e0s4PzoF/lm78UMBwsEbS8/JkVRJG21sOCRH3D5vf+FLoGfPHbZjbxE4O2f+xLX/v2/IsmH4wJqXMb9D5RlFMuJuUWfLKHOXurGJskLVpL2mVTJgsKqbByAHwV+x51aBLWU4D9HvIy6DLXm6u7zD51jOplCm4hj11rImwTsMzvhvG+acd2PGshh1kpECeBNJxHFWqJSjN2CB0GIUpMzJnyTVCZjF1FsNgINTXTXG7u1idNU+vUlKgL/TUS6dT7D2T14q0/cuPl/WdtmJM/abLOw32LGpBdZNKv5ON86NtUhD299/hGqpNhxjy2LIp6Zwh6N8TGKySh5OY7D18Qi5TmSZR9L1l3wmtpxmf9cBt1lhld9giFHkV5TD/WyUeLPcM10UNTGUapr+MBH340SHudZljOom3hGLtEYnaBKFPj3Tbfzj5nLsah53mJ7bcb1VyJYc9gQu7r4OL6n/x9bHvo7AoKbhvw4Jc1JsOu1/RYvhyibkFMKcvro+g3HQ/baCGkedMCbNgzxtfEIXbpxb0TLKD/+zXM8VtsOgvaKAh8gYnOjllKU81NoJo1GVaEgJJlz9XWEmlqOchKo7ljBOdkcPalX3/bXyvwLriA8bOQfSlaLCLpAXizSWygg6QIP+Z7CI2m8L15Lc66HqZl5qKeplpF4jn9/eB+3feaHCJpO2VrPvZKEJWno3tMBjYlCCHtNArdYJEoAfyoF2AnPDjCv3kPMNEFTwZhkNcVCzqJQ1oyJp67VKPkZlYzFmzZTrOVUUxH4byLWXXIpj/tWcO6y46/Cj8XcWhfOcpa9jjoGbQFqC1OvOVilucnwlfaHjy8cNZOJhfH9XKX/gqpRO9mySsqeZl31z7Cap1ik3Yhse22qjCvXfwSlDJ/f8010UeDcrktpWPw1QvokU6IfUZJp0nJ88N/+g/HnvwE67Cl3MSAGSZtFmqZGSHuDfK10Pd5smr97Zi8rrjn/+Bd+lbjshopL1kucG0kQtTiZ/8R/0LPrU4RK01j1VxcheqKE9NWELa9+MjUFvZiQKVmchGdWqc1TYzToNqqKfnzmIX6VsFIyG58FnMfOo/MSEUsAMFbwBRPMLXsQe1NIL5NXKjRvKbcPJ5idOfWT78tR09yFOBOVnq52YikJJMUcolrDeZqF7lQ9HwyVuTr5AhPaYmJmKy41yXt/tIkb/u7HRL/9M+ZP9SOgsO7JO3j7rj9hjRr9yzldRHI+7LVJfFKBKT1EYCb/fmhRN6vaAuwxF2hOG6q/nNVKxmw9lCBNtpnwqnFSgoPHfvATdn3vZ6flHlQE/puIy3obuO2297Cq47U9BKIo0p7NsEeYzYDQSPOMC+VrYU6DYQQM+o6vXtLtVnwRCxel/4B5og1EF1LdNLprkjZlNfUX/fVrboc3WM+KVBWTTg1HHhYsuRzF2UhVNk9esBHz6RSulaCcJ+rYin08hKkgMCX5kTWV5ugkjwc7WTW0hS88O8W7Png1sunVVZg6ETwOw4tlHptZsOZzNN+2j03z30Jd3gjn1+efngpGndd+h44rv/6qv2cNGmPMbXMyOzZF44EtdIwPEiyYaS3VIlvHSSl2BNlQ1YXcryzwp002BNFIbBYz22jL2wmvPedlj3f6/Px0cg3Zude/6ra/VkRRZChsCOGMz4Wcz5EQMqTULm4qTHFOyYE5Y8evloibVGKSD38mznu+dRv/uuU3hF0L0EoHyVmdHGir59zdTyCmRWx6BslUTbKUohhI4RM1YoKXgGpCE3LIbbNY2RbggDtPVdbIBZW22EnJNuBwRsyueJ6/f76Gr9g7uCFcT7lUepmenMQ9OOVnrPCaEUWBcztevXHz/zLf7CcihMkKDuZYXntAS1dDF+uuW8dbVr/luMcqXjelSD1bNl+KJSMgiC66Fm8mXAjSsOp7r7kNL3HVHCONxcJcGFkxtrxNuqEeifjyLLCJDD76VTSHRl39jQTyecoo1MWmaCq56BrcyN8ccHP+J67F7D09OUqqfT5W6Y9ydeRJHHVdSLKJRVd8l9QtD/Lc7AvoWPbR03Ld14otXI+ORq1ixkKZnoEYOgL2go1WvYqEeRqHFj0k8IOeV7YRiFIJQbCDYGFS9OEO5rAFal72eEEUuf72/2DpVded0n4dj9s+9HXMWoGky0epGCcp5Ihpc3DqRayeDN4plazWQ9S1jymC1E2MkKtrZ+v8D6DZ+tEp8ODKC4hf/y50QaBqKo5PnaYoBykLfUzpOprJiSZI1JYcRO1xBFlifoOHEW+JogguPUnKZCejOtGlEnd97DH+9Onf85nnq0nq8GxAJiUIcBqqwFYE/hnGeU2HC8gveZVpHv6clZ0rMcmvnDIawF4VwFnUCWtuyMSQBBmrKtJ53m9OSZj4uWtuYn2igbcvOFz2ravWiGCNOjXshQ5Go79GjsnUrHoPUt4FgkDL5BAhzc31mU4Wf/xSFNfp0xdbg438/dgfuaLzSAEWrl3M4rf9Crvj9VNdnAiSyYpqSdGszSTmE5PkFCtywUmr1RDus8QXESWj5F/I/8p2JZecA1MQUW5kwBzAs/r4pRud/gCK+fXT4QNU18/GX8wQM3sRtRSaoBPVGzCXdZyuOPXRJEPqeaSc/UQJ4IsUOVB/PWZ3knRzHl0QGKhr4apLLyB/0Xrq9x7Ek08xLQZxW3cQKQkkFMPw3ZEx0e+eCUaTJfJ2he0eCZ+aJCk7sY4WER0JOkxZWjUnU4UIXw0Pga7TEJGR5VO/E60I/DOMVS1+FFVF0HWWNR8/A+ipwFcVwJovc1lxEaliBNlUZGHvHUjWEw/3fyVkxcS/ffh3rDjn8Pa/Z5Yh8OM2heLBGvLVSYLaag5M5Xgg2I07l6J5aowWzU/nR89Dch1/4joZRFFk/jvuJdCz4fgHv0nQ7BnCOYmCpCAKINscCIh0+I2o3WbLKPP1MSya6YhUIsciqJQxudowOdYTs5jwdZ98yorThb+oESGI3WakkkgLFmw5jZB5jJrcNHltDhl3hrKgUFLmYXamuPpvVlPcu42pmhAB0vhtNrr/4R+wZJLYswUihKhxTTBUtB3Og5/T2ek9rFZNmizsdGsEy1nikof6gwkke5qgYGFH8XF+k/xfXmztAkFgKjJ9WvpeEfhnGFaTTGtWpCqr47Ke+hXCsaiuDpMqTVPWSsSKE+BUcNSuPq3X9DktOLUUCYuDyfB+UEWCy/6Wd2zcR0mUuGb7NqrLNmqbM8ie13cV+ReDq4yctVMKGBOzx274igerqwmoXpJ+FbuSwau+fNDVS9Q6zOSQQcxgN+VfdU6p15MqwcEUQXweI6gwL5Vx5oqEY3nKeoC8qJK3GzsfZ05g/a3dDKcK2Kej7GjspSNtrNqtXi/2K67AHlcpCwohixu5mD8k8MN5jS3+wzEvcdlBnytLqFg0dPzxMnnLOA9Hf8ELo0/zzHmXGip9TWe9tvO09P3N+6tUeM18e0kb3+85vUmY/i9NDU0MpHfwu6HvUNIK+BecfAbKEyFQihNT3KSqnyQXmc31T/YxaBe4fHwvpvwUjWoQS+crGxvPZkS3hJRz4Qsb6hrvTNpgs89Ph9TCsGWKtKnwilG2L9EUCPA/Zh8/spnxCInT2u6Tpd7qISs4sAYEJFUnKWTR1WpqR/MMcy5jUpS01Zj86sVh6lrn8OhTTwCwt6mLFY7DtrF5t91GOG64JHtMVXRkNaIEsJRLJEwl+swhSqUEuq4TkzxM2JKE8xo5wQYmmag5zlRqmNk33cKOmlZkrYSUGWWs7peUim8yo+309DTr1q2jvb2ddevWEYsd22f7oosuwuPxcOmll57M5SqcILOqnPQ2eF6361WFq9GRyGspEOwsX/7qg6xeC6FCnikxiKSU+Kl6KS+Gwyzu34Xv4G5Ap0kLYuo6fn3hsxXZZ0fQJeb4DYEeFmYSg/nDzHJ0MKJMMGVN45ePrxrsaZ5NTNIZl3VCSu64x7+RNDkNYZ4I2JGLJRJiloTagz2nMqGvIuI4SFQwhPqFlxtJCiNbN1HwWkg6PVyzvPfQuSRFwasZwYmCHKS+rBPRg/hzJUatOSaoYiryIqVSlGl8mNUc/qzh6poImigpMpd+/OPcI71AWTRRNpmxlJ9AyXQjn4LEfn/OSQn822+/nbVr17Jv3z7Wrl3L7bfffszjPvGJT/CjH/3oZC5V4U2MKIoIgqE2EUQ3VQ2vvaDIq6FaFYgSYGtyFX+sXcLasSL/Nahz6wfezbvMDQTEPOIJFNY4WzHP5BJa4ZLovfJaemUBTShhcgfoqupGE3Qi8jR+08tXKXuJrpbDDgKNjldO3fFG0+IxBP6Ex4klFychZEmWO9F1sJbqUZ3DTBHEWizSM6+XiXgc59ABhpqaqS5MUeU5MpFcuMmBqKtMySFCYZ0pPUQwr5Ix5ygLCpv3bSESOUhS8OAtlHEkDVVS0qNgi+XZPXkbj8krCWYNF15Tbiv2fMtJeeu9HCcl8O+55x5uuukmAG666SbuvvvuYx63du1anM7TE3hS4U2COKMnV+woptdHZ95o8aEJEl93fpjqrM5X7RH0fAO2nz+KOe3F5Dy9eUn+0rEEDW+c0nSMK3u7IaOhWdOIokh3a++h4wIn4N5rsVlfiruip7bpNLT21NERNFxzI2IQrzRCTigSK1eTEdrICVnsjmkiegh70RDMf3jySURdZ1PjMtpTmaPON6trLs5ChgnCSD6NqBAgnNewB41Q3d2pKDsGjMyjYUzkZ+pHZJwKtgETT4krSAheChkLYnkaX95B25xTUzPhzzkpgT8xMUH1TBqAqqoqJmaKBL9W7rjjDhYtWsSiRYuIRCInda4Kry+6bAh51f36TeyddUY+FqUs8KMFrYSv2ICj5iDp4WZUNYgSfn2M1n+p2EJ16GiUo4YRkrSEZjXUMdWhOtyq8VsGbCe2S5IUI4ho5bylp76xp5A6rwVF1ZgiiN8VByArWjmgXsOYGMNujzGlhimbjTTjB55/Ft0iMhRuZon5aHtGb+sCnNkck3o1ecxkRTvVOY15KwzV5rAo0J8w5FmDxcNeudoIvrKasQz4eG5iMe2DW0l7bTiT2+gqLGD5xP7T0vfjCvwLLriA7u7uo/7uueeeI44TBOGktyC33normzZtYtOmTQRPMIFYhTcHpZmiy+bQ8Q18p4qVzT7aUzpfr6mmq8a4rvvW6zCZhwAwNb+6hGJnG5LJgmpJos7UoxVyZnAYOVxEUaRDNILbAs4TexZNUhkkqK56c993URTx5iGihbF5jRV7WRGIaCsYEqZx2ONERR952UoyPYp5305SDR4QRK5eerR9ymP34MsZ+vrpl1wyixlamuqwaRnGFSdjM7UC2gJVuOcsxE2clNmKNW3jP774Rd7/q9+gyWau2ljDvO1L2fmwDfU0RNoe1yrw0EMPvexn4XCYsbExqqurGRsbIxSqeEScrQgzXg3++tdvDASdZh6/fP6R7bBY8N+6ivRv/oR52bWvW1v+UtEcWUhKaJqGlHOgOvKHPptlb+e57HZCL1O8/M9pVNNMCqcu/fPpJKSJRLQaZF8WIQYpqUhPSec51wQlk2h40QAPPPF7zMU8LzYvIJyformq95jn8xdybBftDOpG9a5GxZg4Q8UY4+YgQWkAgO62BlR3mUcm9pFUnGzpWs7jCxawu74BUdOpSSvMbrmdrJhEE67nVFtDTkqlc/nll3PnnXcCcOedd3LFFS9fSanCmY3idAACc3qOH2F5upFqG3C/7waEmWIbFV4Bp4qYtlHOJhFVyxEBamtmraO+XE1L/SsXnn+J33zyOp789OWnq6WnlCpRYkoIoIYKWIslEkKWqJjC5phmaqZ4iS2b4sDGTWiSwLO1q2hPpl/2fD6M1fhOzahR0FpnGHbD+Sxj1BAzi1i1LNXhAMtb/XjLcRKyC39RoD5Wy55aGU9qjHf630d5bj8FfwGEU58q+aQE/qc+9SkefPBB2tvbeeihh/jUpz4FwKZNm7jlllsOHbd69Wre8pa38PDDD1NXV8cf/vCHk2t1hTcdl73tEjyLL2Fez4mXMazwxiN6JaScm+y4oQaT3Ydz0y/pWcnvb34Al9NzQudSzCastr+MILdas0JGtpIzWfDpY8SF7Iz+/rDAv/r+HyPvHIEqCxmTi4XSy+ftb55RZW7OL0fQdVoXGbEoNQWduOBjVKjFo6YQBAGPzYSrkCImeii7xtjS/Tgxl53Log/wkKMR2ayyP7kUTkNu/JNy9PT7/Tz88MNHvb9o0SK++93vHnr9+OOPn8xlKvwF0D57Lu2zT39t0gqnFsVrR0ckfaAP8GLynbqyj29mGu1mKOSZIojdMs6Y3sSgEKPKHGFfthfssL1zITZbgVyXYby+av7LBxSu6Z7Fv/XnidmduPN5bDN2jBbJmAj2Mou20sih4+25DAWXFdGU57FQHADnCxFc61NMT9cwaapFEk+9e2sl0rZChbMYU8AQ8MVBIyum+SyJW2j1Gqv1qXIQkzeFKmhMSXGctiiRUgOSqjPW1szm9cvYXjefYGGa2a11L3u++Y0dWIqGYdaTP2wH6a2bcX0VzHiKh2tV+2f+VW1+WtmAP1ekdZaAYi4RH7uQHq0TeJOpdCpUqPCXjTVsCCRh3Mhlb32FlMZnEu0Bo7+RfDNmn6GbF6UykjtPRGzEW9CpyicZpoE9zKY1kXrF84miiD9nePz4CtlD7y/taUfQDXdVf+lw7vtOqzHhjDoK7PF4aYpN4m7aihqtozu2GmfeiVhZ4VeoUOFUYg3UoqOhZPyoSgb5daov+0bT6LMhqTpTWjPmQBrQsdniCCJEpCBBVaA6W2JcqCEv2FigHd/7yJc3BL67dDi1hMtux1eOAxDUDseFzPIb6SqeC3jIKhKtPIfZnEPfFeYzbVn+v5ffTJwUFYFfocJZzEu++ACa9ego0jMVSRLxFnQmhDpEs4ZDihEQRwGIyg7CokRj+bAB+vI5x08X4plxovTYjgw+DMyUkKwzH7aPtNY0Iugqe/wdiJrGWvu9yMMm1v7d/3DTwAg3Hjx40n08Fqc+O0+FChX+otAcWch70G2vvSTmXyJBVWBSNFbareld2KzTFAsmUhaZWkFhrtf4zJtLMa9n3nHP1xus53FUFlYfWay+KquzxwPtwcNJ6Nw1s/GMvUBM9FOfGsXhStLs+mtkReHKcy5BL2ucDior/AoVznZcRpAQjtMjZN6shEWJqGIBFbzSGHjzJFNG4FSD3cyqnnbQdVrjmRPKInDF7AZq0hoXdBxZHWylTcGVL7Cg63DKcrM7hE+PArBCegJTxELdeR8GwLGyFue59aeqm0dQEfgVKpzlSB5joy86z64Nf51JIW0W0add9Hf5UWs1opqRn6nJZaW6Lsz7Do7wifCJRRp317rZfNkCmgNH1k3+0BXn8/ySVgJezxHv+8qGKq3X+gz1nne8LkVjzq5fuEKFCkch++zogOz+ywiaOlU02MxQKhBX51Adeg5ZUpmSZwPQFrAhCAKfveXka3iIooTTf7S766xcPxHFS3N0jIar/uakr3NCbXldrlKhQoU3LeaQIYwU3+uX+O7NQItnxhdfmYcsqQBMyk0Imk5r0PFKXz0lXJd6nM/ztzTYrkWUT2/N5ZeoCPwKFc5yfN1LkC7NEVy46o1uyutKx4wv/qTZUOOgwYQYwFXUsSinv4iL27kQy7iTxgv//rRf6yUqKp0KFc5yRFGketWFb3QzXneag3bEHTrjUh1oIMcVJkwigVOflfiYdFz5VU4sLd2po7LCr1ChwlmJIol4Cjpjqohpyoo9V8uUrBM6g8ViZYVfoUKFs5ZAWWACjSXrH0AVTcQ3DVEjnLmV0s7cqaxChQoVjkOVIDGl6Ji9NYzmLWiiQJ319TGgvhFUBH6FChXOWmpMMkmzQLZQZl/USC3R5Dxz3VMrAr9ChQpnLY02CwgC+ybT9MWNLJetvjM3gVxF4FeoUOGspdltlMHcP51lYCbJ2ayw85W+8hdNReBXqFDhrKU9YKzm+xI5RgolbEUNt61itK1QoUKFM47WoANB0xnMFhjXVHzF4ydJ+0umIvArVKhw1mJRJFwFndFSmYioEdIrAr9ChQoVzlgCZYFxXSVmEqiSzuzQpJMS+NPT06xbt4729nbWrVtHLBY76pitW7eyfPlyurq66Onp4Wc/+9nJXLJChQoVTilVgsiwBYqKQJ3lzPXBh5MU+Lfffjtr165l3759rF27lttvv/2oY2w2Gz/84Q/ZsWMH999/Px/96EeJx+Mnc9kKFSpUOGXUKgp5xVDlNDqOX7v2L5mTEvj33HMPN910EwA33XQTd99991HHdHR00N7eDkBNTQ2hUIhIJHIyl61QoUKFU0a97bCQb/WeuT74cJICf2Jigupqo5xXVVUVExMTr3j8xo0bKRaLtLYeuyDwHXfcwaJFi1i0aFFlUqhQocLrQrPLeuj/9qD9DWzJ6ee4FooLLriA8fHxo97//Oc/f8RrQRBese7j2NgYN9xwA3feeefLlvK69dZbufXWWwFYtGjR8ZpWoUKFCidNm88GMVDKOtVneNWv4wr8hx566GU/C4fDjI2NUV1dzdjYGKFQ6JjHJZNJNmzYwOc//3mWLVv22ltboUKFCqeYjrADDoCvoL8udWXfSE6qd5dffjl33nknAHfeeSdXXHHFUccUi0WuuuoqbrzxRq699tqTuVyFChUqnHJsZhlnXiOgndnCHk5S4H/qU5/iwQcfpL29nYceeohPfepTAGzatIlbbrkFgJ///Oc89thj/OAHP6C3t5fe3l62bt160g2vUKFChVPFB50e3l8ffKObcdoRdF3X3+hGHItFixaxadOmN7oZFSpUqPAXxSvJzjN/D1OhQoUKFYCKwK9QoUKFs4aKwK9QoUKFs4SKwK9QoUKFs4SKwK9QoUKFs4SKwK9QoUKFs4SKwK9QoUKFs4SKwK9QoUKFs4Q3beBVIBCgqanpNX8/EokQDJ75kXNnSz/h7Onr2dJPOHv6+nr2s7+/n6mpqWN+9qYV+CfL2RKpe7b0E86evp4t/YSzp69vln5WVDoVKlSocJZQEfgVKlSocJZwxgr8lwqpnOmcLf2Es6evZ0s/4ezp65uln2esDr9ChQoVKhzJGbvCr1ChQoUKR1IR+BUqVKhwlnDGCfz777+fWbNm0dbWxu233/5GN+eU8u53v5tQKER3d/eh96anp1m3bh3t7e2sW7eOWCz2Brbw1DA0NMSaNWuYM2cOXV1dfOMb3wDOzL7m83mWLFnCvHnz6Orq4p/+6Z8A6OvrY+nSpbS1tXHddddRLBbf4JaeGlRVZf78+Vx66aXAmdvPpqYm5s6dS29vL4sWLQLeHOP3jBL4qqrywQ9+kPvuu4+dO3fy05/+lJ07d77RzTplvOtd7+L+++8/4r3bb7+dtWvXsm/fPtauXXtGTHKyLPOVr3yFnTt38swzz/Ctb32LnTt3npF9NZvN/PGPf2Tbtm1s3bqV+++/n2eeeYZPfvKT3Hbbbezfvx+v18t///d/v9FNPSV84xvfoLOz89DrM7WfAI888ghbt2495H//phi/+hnEU089pV944YWHXn/hC1/Qv/CFL7yBLTr19PX16V1dXYded3R06KOjo7qu6/ro6Kje0dHxRjXttHH55ZfrDzzwwBnf10wmo8+fP19/5plndL/fr5dKJV3Xjx7Xf6kMDQ3p559/vv7www/rGzZs0DVNOyP7qeu63tjYqEcikSPeezOM3zNqhT8yMkJ9ff2h13V1dYyMjLyBLTr9TExMUF1dDUBVVRUTExNvcItOLf39/WzZsoWlS5eesX1VVZXe3l5CoRDr1q2jtbUVj8eDLMvAmTOOP/rRj/KlL30JUTTETjQaPSP7CSAIAhdeeCELFy7kjjvuAN4cz6r8ul+xwmlDEAQEQXijm3HKSKfTXHPNNXz961/H5XId8dmZ1FdJkti6dSvxeJyrrrqK3bt3v9FNOuX89re/JRQKsXDhQh599NE3ujmnnSeeeILa2lomJydZt24ds2fPPuLzN2r8nlECv7a2lqGhoUOvh4eHqa2tfQNbdPoJh8OMjY1RXV3N2NgYoVDojW7SKaFUKnHNNdfwjne8g6uvvho4c/v6Eh6PhzVr1vD0008Tj8cpl8vIsnxGjOMnn3ySe++9l9///vfk83mSySQf+chHzrh+vsRL/QiFQlx11VVs3LjxTTF+zyiVzuLFi9m3bx99fX0Ui0XuuusuLr/88je6WaeVyy+/nDvvvBOAO++8kyuuuOINbtHJo+s6N998M52dnXzsYx879P6Z2NdIJEI8Hgcgl8vx4IMP0tnZyZo1a/jlL38JnBl9/eIXv8jw8DD9/f3cddddnH/++fzP//zPGddPgEwmQyqVOvT/Aw88QHd395tj/L7uVoPTzO9+9zu9vb1db2lp0f/1X//1jW7OKeVtb3ubXlVVpcuyrNfW1urf/e539ampKf3888/X29ra9LVr1+rRaPSNbuZJ8/jjj+uAPnfuXH3evHn6vHnz9N/97ndnZF+3bdum9/b26nPnztW7urr0f/7nf9Z1XdcPHDigL168WG9tbdWvvfZaPZ/Pv8EtPXU88sgj+oYNG3RdPzP7eeDAAb2np0fv6enR58yZc0gOvRnGbyW1QoUKFSqcJZxRKp0KFSpUqPDyVAR+hQoVKpwlVAR+hQoVKpwlVAR+hQoVKpwlVAR+hQoVKpwlVAR+hQoVKpwlVAR+hQoVKpwl/P9zJ5zBlueX6AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画图\n",
    "plot_multiple(forecast_test,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c217cd2",
   "metadata": {},
   "source": [
    "#### 将forecast_test和y_test都完全展开，得到连续的每天的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a8d74b33",
   "metadata": {},
   "outputs": [],
   "source": [
    "forecast_test = forecast_test.reshape(-1)\n",
    "y_test = y_test.reshape(-1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50d5fd07",
   "metadata": {},
   "source": [
    "#### 将最新预测的n个数据插回forecast_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4d108ecf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-0.0868687  -0.08752564 -0.08760452 -0.08281993 -0.09021568]\n"
     ]
    }
   ],
   "source": [
    "# 预测的最新n天：\n",
    "predict_n = forecastpoint[-1]\n",
    "print(predict_n)\n",
    "forecast_test = np.append(forecast_test,predict_n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ae0b5aee",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1330,), (1325,))"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecast_test.shape,y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f8c6a91e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_results(forecast_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "01c4a21c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_results(np.append(y_test[-configs['data']['input_timesteps']:],predict_n),\n",
    "             y_test[-configs['data']['input_timesteps']:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3e398538",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "      <th>24</th>\n",
       "      <th>25</th>\n",
       "      <th>26</th>\n",
       "      <th>27</th>\n",
       "      <th>28</th>\n",
       "      <th>29</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.128083</td>\n",
       "      <td>-0.133417</td>\n",
       "      <td>-0.131114</td>\n",
       "      <td>-0.124195</td>\n",
       "      <td>-0.127628</td>\n",
       "      <td>-0.009677</td>\n",
       "      <td>0.014516</td>\n",
       "      <td>0.002823</td>\n",
       "      <td>-0.005645</td>\n",
       "      <td>-0.078226</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.112500</td>\n",
       "      <td>-0.124194</td>\n",
       "      <td>-0.116935</td>\n",
       "      <td>-0.110887</td>\n",
       "      <td>-0.07621</td>\n",
       "      <td>-0.086869</td>\n",
       "      <td>-0.087526</td>\n",
       "      <td>-0.087605</td>\n",
       "      <td>-0.08282</td>\n",
       "      <td>-0.090216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.009677</td>\n",
       "      <td>0.014516</td>\n",
       "      <td>0.002823</td>\n",
       "      <td>-0.005645</td>\n",
       "      <td>-0.026613</td>\n",
       "      <td>-0.078226</td>\n",
       "      <td>-0.074194</td>\n",
       "      <td>-0.070161</td>\n",
       "      <td>-0.096371</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.110081</td>\n",
       "      <td>-0.124194</td>\n",
       "      <td>-0.116935</td>\n",
       "      <td>-0.110887</td>\n",
       "      <td>-0.07621</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         0         1         2         3         4         5         6   \\\n",
       "0 -0.128083 -0.133417 -0.131114 -0.124195 -0.127628 -0.009677  0.014516   \n",
       "0  0.000000 -0.009677  0.014516  0.002823 -0.005645 -0.026613 -0.078226   \n",
       "\n",
       "         7         8         9   ...        20        21        22        23  \\\n",
       "0  0.002823 -0.005645 -0.078226  ... -0.112500 -0.124194 -0.116935 -0.110887   \n",
       "0 -0.074194 -0.070161 -0.096371  ... -0.110081 -0.124194 -0.116935 -0.110887   \n",
       "\n",
       "        24        25        26        27       28        29  \n",
       "0 -0.07621 -0.086869 -0.087526 -0.087605 -0.08282 -0.090216  \n",
       "0 -0.07621       NaN       NaN       NaN      NaN       NaN  \n",
       "\n",
       "[2 rows x 30 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(pd.concat([pd.DataFrame(forecast_test[-configs['data']['sequence_length']:].reshape(1,-1)),pd.DataFrame(y_test[-configs['data']['input_timesteps']:].reshape(1,-1))]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0757ea55",
   "metadata": {},
   "source": [
    "### 不成熟的复原函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "fc12e0ec",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.1620396, 1.1337719, 1.1303777, 1.3362583, 1.0180194]],\n",
       "      dtype=float32)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecast.reversal_normalis(predict_n)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "deep",
   "language": "python",
   "name": "deep"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
